94 REFERENCES
Abdelali HA, Essannouni F, Essannouni L, et al. (2014) Algorithm for moving object detection and tracking in video sequence using color feature. Second World Conference on Complex Systems (WCCS), 2014 690-693.
Ahmadi K and Salari E. (2015) Small dim object tracking using a multi objective particle swarm optimisation technique. IET Image Processing 9: 820-826. Amudha J and Chandrika KR. (2016) Suitability of Genetic Algorithm and Particle
Swarm Optimization for Eye Tracking System. 2016 IEEE 6th International Conference on Advanced Computing (IACC). 256-261.
Awadallah MA and Venkatesh B. (2016) Bacterial Foraging Algorithm Guided by Particle Swarm Optimization for Parameter Identification of Photovoltaic Modules. Canadian Journal of Electrical and Computer Engineering 39: 150-157.
Azab MM, Shedeed HA and Hussein AS. (2014) New technique for online object tracking-by-detection in video. IET Image Processing 8: 794-803.
Bardet F. CT, Ramadasan D. (2009) Real-time multiobject tracking with few particles: A Parallel Extension of MCMC Algorithm. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications. 456-463.
Beheshti Z and Hj. Shamsuddin SM. (2014) CAPSO: Centripetal accelerated particle swarm optimization. Information Sciences 258: 54-79.
Berclaz J, Fleuret F and Fua P. (2006) Robust People Tracking with Global Trajectory Optimization. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006. 744-750.
Bernardin K and Stiefelhagen R. (2008) Evaluating multiple object tracking performance: the CLEAR MOT metrics. J. Image Video Process. 2008: 1-10. Bhaskar H ML, Maskell S. (2008) Multiple Body Part Tracking Using a Probabilistic
Data Association Filter. NATO Symposium on Sensors and Technology for Defense Against Terrorism. 22-25.
Bhatt KRRaK. (2014) Illumination Condition Effect on Object Tracking: A Review. Global Journal of Computer Science and Technology 14: 7.
Breitenstein MD, Reichlin F, Leibe B, et al. (2009) Robust tracking-by-detection using a detector confidence particle filter. IEEE 12th International Conference on Computer Vision, 2009. 1515-1522.
95
Breitenstein MD, Reichlin F, Leibe B, et al. (2011) Online Multiperson Tracking-by-Detection from a Single, Uncalibrated Camera. IEEE Transactions on Pattern Analysis and Machine Intelligence 33: 1820-1833.
Britto JDJ and Chandran KRS. (2014) A predictive and pattern based PSO approach for motion estimation in video coding. Communications and Signal Processing (ICCSP), 2014 International Conference on. 1572-1576.
Cao Y-y, Xu G-y and Riegel T. (2007) Moving Object Contour Detection Based on S-T Characteristics in Surveillance. In: Smith M and Salvendy G (eds) Human Interface and the Management of Information. Methods, Techniques and Tools in Information Design. Springer Berlin Heidelberg, 575-583.
Caterina GD and Soraghan JJ. (2012) Robust complete occlusion handling in adaptive template matching target tracking. Electronics Letters 48: 831-832.
Chang IC and Lin S-Y. (2010) 3D human motion tracking based on a progressive particle filter. Pattern Recognition 43: 3621-3635.
Chaudhuri B, Demir B, Bruzzone L, et al. (2016) Region-Based Retrieval of Remote Sensing Images Using an Unsupervised Graph-Theoretic Approach. IEEE Geoscience and Remote Sensing Letters 13: 987-991.
Cheng Y. (1995) Mean shift, mode seeking, and clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence 17: 790-799.
Chia-Jung P, Hsiao-Rong T, Yu-Ming L, et al. (2003) Pedestrian detection and tracking at crossroads. ICIP 2003. Proceedings. 2003 International Conference on Image Processing, 2003. II-101-104 vol.103.
Chuang L-Y, Chang H-W, Tu C-J, et al. (2008) Improved binary PSO for feature selection using gene expression data. Computational Biology and Chemistry 32: 29-38.
Collins R. LA, Kanade T., Fujiyoshi H., Duggins D., Tsin Y., Tolliver D., Enomoto N., and Hasegawa A.,. (2000) A System for Video Surveillance and Monitoring, Technical report CMU-RI-TR-00-12. Robotics Institute, Carnegie Mellon University.
Comaniciu D and Meer P. (2002) Mean shift: a robust approach toward feature space analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 24: 603-619.
Comaniciu D, Ramesh V and Meer P. (2003) Kernel-based object tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 25: 564-577.
96
Cuevas E. V. ZDaRR. (2005) Kalman Filter for Vision Tracking. Freie Universität Berlin.
Curetti M, Bravo SG, Arri GS, et al. (2013) Adjustable Tracking Algorithm with Adaptive Template Matching. IEEE Latin America Transactions 11: 34-39. Dhara SK, Singh D and Meher S. (2014) A novel block matching based motion
compensation using hybrid particle swarm optimization technique for efficient video compression. 2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT). 000119-000124.
Dickinson P and Hunter A. (2005) Scene modelling using an adaptive mixture of Gaussians in colour and space. IEEE Conference on Advanced Video and Signal Based Surveillance, 2005. AVSS 2005. 64-69.
Doulamis ND. (2010) Coupled multi-object tracking and labeling for vehicle trajectory estimation and matching. Multimedia Tools Appl. 50: 173-198.
Elgammal A, Harwood D and Davis L. (2000) Non-parametric Model for Background Subtraction. In: Vernon D (ed) Computer Vision — ECCV 2000. Springer Berlin Heidelberg, 751-767.
Feiling C, Bin Z, Wenlin J, et al. (2013) Removal shadow with background subtraction model ViBe algorithm. 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA), 2013 264-269.
Flohr F, Dumitru-Guzu M, Kooij JFP, et al. (2015) A Probabilistic Framework for Joint Pedestrian Head and Body Orientation Estimation. Intelligent Transportation Systems, IEEE Transactions on 16: 1872-1882.
Fu L, Huiying L and Lei G. (2015) Hand recognition based on finger-contour and PSO. Intelligent Computing and Internet of Things (ICIT), 2014 International Conference on. 35-39.
Fujun P, Pingyuan C and Yangzhou C. (2008) Adaptive MCMC Particle Filter for Nonlinear and Non-Gaussian State Estimation. 3rd International Conference on Innovative Computing Information and Control, 2008. ICICIC '08. 494-494.
Fukunaga K and Hostetler L. (1975) The estimation of the gradient of a density function, with applications in pattern recognition. IEEE Transactions on Information Theory 21: 32-40.
G. Welch BDA, A. Ilie and G. Bishop, . (2007) Measurement sample time optimization for human mo-tion tracking/capture systems. Proc. of the Trends and Issues in Tracking for Virtual Environments, Workshop at the IEEE Virtual Reality 2007. Hilton Charlotte Center City, Charlotte, North Carolina, USA, .
97
Ghiasi S, Moon H, Nahapetian A, et al. (2004) Collaborative and Reconfigurable Object Tracking. The Journal of Supercomputing 30: 213-238.
Gu IYH and Bolbat M. (2013) Road traffic tracking and parameter estimation based on visual information analysis using self-calibrated camera views. Seventh International Conference on Distributed Smart Cameras (ICDSC), 2013. 1-6.
Guo L and Chen X. (2009) A Novel Particle Swarm Optimization Based on the Self-Adaptation Strategy of Acceleration Coefficients. Computational Intelligence and Security, 2009. CIS '09. International Conference on. 277-281.
Haghighat M, Abdel-Mottaleb M and Alhalabi W. (2016) Discriminant Correlation Analysis: Real-Time Feature Level Fusion for Multimodal Biometric Recognition. IEEE Transactions on Information Forensics and Security PP: 1-1. Hai-Yan Z. (2010) Multiple moving objects detection and tracking based on optical
flow in polar-log images. International Conference on Machine Learning and Cybernetics (ICMLC), 2010. 1577-1582.
Haili W and Liang Z. (2010) Object tracking based on local feature points. 3rd International Congress on Image and Signal Processing (CISP), 2010 349-352.
Haritaoglu I, Harwood D and David LS. (2000) W4: Real-Time Surveillance of People and Their Activities. IEEE Trans. Pattern Anal. Mach. Intell. 22: 809-830. Hashemi AB and Meybodi MR. (2009) Cellular PSO: A PSO for Dynamic
Environments. Advances in Computation and Intelligence: 4th International Symposium, ISICA 2009 Huangshi, China, Ocotober 23-25, 2009 Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 422-433.
Hassan A, Phillips C and Pitts J. (2007) Dynamic routing and wavelength assignment using hybrid particle swarm optimization for wdm networks. EPSRC PostGraduate Network Symposium (PGNet).
Hebert P, Hudson N, Ma J, et al. (2012) Combined shape, appearance and silhouette for simultaneous manipulator and object tracking. IEEE International Conference on Robotics and Automation (ICRA), 2012. 2405-2412.
Holte MB, Chakraborty B, Gonzalez J, et al. (2012) A Local 3-D Motion Descriptor for Multi-View Human Action Recognition from 4-D Spatio-Temporal Interest Points. IEEE Journal of Selected Topics in Signal Processing 6: 553-565.
Hongzhi W, Nong S and Yi Y. (2014) Real-Time Tracking Combined with Object Segmentation. 22nd International Conference on Pattern Recognition (ICPR), 2014. 4098-4103.
98
Huang Y-W, Chen C-Y, Tsai C-H, et al. (2006) Survey on Block Matching Motion Estimation Algorithms and Architectures with New Results. Journal of VLSI signal processing systems for signal, image and video technology 42: 297-320.
Ikoma N, Kawamoto K, Kawano H, et al. (2007) A New Concept of Drive Recording System by Estimating Human Intention Using Particle Filters. Proceedings of the Second International Conference on Innovative Computing, Informatio and Control. IEEE Computer Society, 409.
Ilunga-Mbuyamba E, Avina-Cervantes JG, Lindner D, et al. (2016) Automatic brain tumor tissue detection based on hierarchical centroid shape descriptor in Tl-weighted MR images. 2016 International Conference on Electronics, Communications and Computers (CONIELECOMP). 62-67.
Isard M and Blake A. (1998) CONDENSATION—Conditional Density Propagation for Visual Tracking. International Journal of Computer Vision 29: 5-28.
Jansson D and Medvedev A. (2013) Parametric and non-parametric stochastic anomaly detection in analysis of eye-tracking data. IEEE 52nd Annual Conference on Decision and Control (CDC), 2013 2532-2537.
Jaward M, Mihaylova L, Canagarajah N, et al. (2006) Multiple object tracking using particle filters. IEEE Aerospace Conference, 2006 8 pp.
Jia D, Cao J, Song Wd, et al. (2016) Colour FAST (CFAST) match: fast affine template matching for colour images. Electronics Letters 52: 1220-1221.
Jingling W, Yan M, Chuanzhen L, et al. (2009) An Efficient Multi-object Tracking Method Using Multiple Particle Filters. WRI World Congress on Computer Science and Information Engineering, 2009. 568-572.
Jiun-Hung C, Chu-Song C and Yong-Sheng C. (2003) Fast algorithm for robust template matching with M-estimators. IEEE Transactions on Signal Processing 51: 230-243.
Joglekar J, Gedam SS and Mohan BK. (2014) Image Matching Using SIFT Features and Relaxation Labeling Technique & A Constraint Initializing Method for Dense Stereo Matching. IEEE Transactions on Geoscience and Remote Sensing 52: 5643-5652.
John V, Yoneda K, Liu Z, et al. (2015) Saliency Map Generation by the Convolutional Neural Network for Real-Time Traffic Light Detection Using Template Matching. IEEE Transactions on Computational Imaging 1: 159-173.
Jung HG. (2013) Medoid selection from sub-tree leaf nodes for k-medoid clustering-based hierarchical template tree construction. Electronics Letters 49: 108-109.
99
Junqiu W and Yagi Y. (2008) Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking. IEEE Transactions on Image Processing 17: 235-240.
Juyang W, Yilu Z and Wey-Shiuan H. (2003) Candid covariance-free incremental principal component analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence 25: 1034-1040.
Kalman RE. (1960) A New Approach to Linear Filtering and Prediction Problems. Journal of Basic Engineering 82: 35-45.
Kaltsa V, Briassouli A, Kompatsiaris I, et al. (2015) Swarm Intelligence for Detecting Interesting Events in Crowded Environments. IEEE Transactions on Image Processing 24: 2153-2166.
Kao WC, Lee CY, Lin CY, et al. (2015) Gaze tracking with particle swarm optimization. 2015 International Symposium on Consumer Electronics (ISCE). 1-2.
Kennedy J and Eberhart R. (1995) Particle swarm optimization. Neural Networks, 1995. Proceedings., IEEE International Conference on. 1942-1948 vol.1944.
Kiranyaz S, Pulkkinen J and Gabbouj M. (2011) Multi-dimensional particle swarm optimization in dynamic environments. Expert Systems with Applications 38: 2212-2223.
Kita Y. (2010) Background Modeling by Combining Joint Intensity Histogram with Time-sequential Data. 20th International Conference on Pattern Recognition (ICPR), 2010. 991-994.
Kodama T, Yamaguchi T and Harada H. (2009) A method of object tracking based on particle filter and optical flow. ICCAS-SICE, 2009. 2685-2690.
Koutaki G and Uchimura K. (2011) Robust and hight accurate pattern matching using eigen decomposed templates. Frontiers of Computer Vision (FCV), 2011 17th Korea-Japan Joint Workshop on. 1-4.
Lajevardi SM, Arakala A, Davis S, et al. (2014) Hand vein authentication using biometric graph matching. IET Biometrics 3: 302-313.
Lakshmanan L. (2013) Efficient person authentication based on multi-level fusion of ear scores. IET Biometrics 2: 97-106.
Larhmam MA, Benjelloun M and Mahmoudi S. (2014) Vertebra identification using template matching modelmp and $$K$$ K -means clustering. International Journal of Computer Assisted Radiology and Surgery 9: 177-187.
100
Lee WC and Chen CH. (2012) A Fast Template Matching Method With Rotation Invariance by Combining the Circular Projection Transform Process and Bounded Partial Correlation. IEEE Signal Processing Letters 19: 737-740. Li C, Yang S and Nguyen TT. (2012a) A Self-Learning Particle Swarm Optimizer for
Global Optimization Problems. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 42: 627-646.
Li H, Shen T and Huang X. (2011) Approximately Global Optimization for Robust Alignment of Generalized Shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 33: 1116-1131.
Li H, Xiong S, Duan P, et al. (2012b) Multitarget tracking of pedestrians in video sequences based on particle filters. Adv. MultiMedia 2012: 18-18.
Liu L, Wang D and Yang S. (2008) Compound Particle Swarm Optimization in Dynamic Environments. Applications of Evolutionary Computing: EvoWorkshops 2008: EvoCOMNET, EvoFIN, EvoHOT, EvoIASP, EvoMUSART, EvoNUM, EvoSTOC, and EvoTransLog, Naples, Italy, March 26-28, 2008. Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 616-625.
Liu Q and Jiao J. (2010) The Recognition of Linear Objects Based on Edge Detection and Skeleton Tracking. International Symposium on Information Science and Engineering (ISISE), 2010. 379-381.
Long Y, Qin Z and Ling G. (2008) Use hierarchical genetic particle filter to figure articulated human tracking. IEEE International Conference on Multimedia and Expo, 2008. 1561-1564.
Ma B, Hu H, Shen J, et al. (2016) Generalized Pooling for Robust Object Tracking. IEEE Transactions on Image Processing 25: 4199-4208.
Mahadevi M and Sumathi CP. (2014) Face detection based on skin color model and connected component with template matching. International Conference on Information Communication and Embedded Systems (ICICES), 2014. 1-4.
Manzar MA, Cheema TA, Jalil A, et al. (2008) New image matching technique based on hyper-vectorisation of grey level sliced binary image. IET Image Processing 2: 337-351.
Mao Y-f and Shi P-f. (2005) Diversity sampling based kernel density estimation for background modeling. Journal of Shanghai University (English Edition) 9: 506-509.
Marron M, Garcia JC, Sotelo MA, et al. (2007) Comparing a Kalman Filter and a Particle Filter in a Multiple Objects Tracking Application. IEEE International Symposium on Intelligent Signal Processing, 2007. WISP 2007. 1-6.
101
McKenna SJ and Nait-Charif H. (2007) Tracking human motion using auxiliary particle filters and iterated likelihood weighting. Image and Vision Computing 25: 852-862.
Ming Q, Van-Dung H and Kang-Hyun J. (2012) Localization and tracking of same color vehicle under occlusion problem. 13th Int'l Workshop on Mechatronics (MECATRONICS) , 2012 9th France-Japan & 7th Europe-Asia Congress on and Research and Education in Mechatronics (REM), 2012 245-250.
Mou X and Wang H. (2014) An improved approach for depth data based face pose estimation using particle swarm optimization. Computer Vision Theory and Applications (VISAPP), 2014 International Conference on. 534-541.
Muthuswamy K and Rajan D. (2015) Particle filter framework for salient object detection in videos. Computer Vision, IET 9: 428-438.
Nagy AM, Ahmed A and Zayed HH. (2014) Particle filter based on joint color texture histogram for object tracking. First International Image Processing, Applications and Systems Conference (IPAS), 2014. 1-6.
Okuma K, Taleghani A, de Freitas N, et al. (2004) A Boosted Particle Filter: Multitarget Detection and Tracking. In: Pajdla T and Matas J (eds) Computer Vision - ECCV 2004. Springer Berlin Heidelberg, 28-39.
Omachi S and Omachi M. (2007) Fast Template Matching With Polynomials. IEEE Transactions on Image Processing 16: 2139-2149.
Osawa T, Xiaojun W, Wakabayashi K, et al. (2006) Human Tracking by Particle Filtering Using Full 3D Model of Both Target and Environment. 18th International Conference on Pattern Recognition, 2006. ICPR 2006. 25-28.
Pan J, Hu B and Zhang JQ. (2008) Robust and Accurate Object Tracking Under Various Types of Occlusions. IEEE Transactions on Circuits and Systems for Video Technology 18: 223-236.
Panigrahi BK, Ravikumar Pandi V and Das S. (2008) Adaptive particle swarm optimization approach for static and dynamic economic load dispatch. Energy Conversion and Management 49: 1407-1415.
Parsopoulos KE and Vrahatis MN. (2005) Unified Particle Swarm Optimization in Dynamic Environments. Applications of Evolutionary Computing: EvoWorkkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC Lausanne, Switzerland, March 30 - April 1, 2005 Proceedings. Berlin, Heidelberg: Springer Berlin Heidelberg, 590-599.
102
Pereira Passarinho CJ, Teatini Salles EO and Sarcinelli Filho M. (2015) Face Tracking in Unconstrained Color Videos with the Recovery of the Location of Lost Faces. IEEE (Revista IEEE America Latina) Latin America Transactions 13: 307-314.
Prisacariu VA, Kahler O, Murray DW, et al. (2015) Real-Time 3D Tracking and Reconstruction on Mobile Phones. IEEE Transactions on Visualization and Computer Graphics 21: 557-570.
Qi L, Yu W, Zheng M, et al. (2016) Detection and parameter estimation of ground moving targets in multichannel wide-area surveillance system based on iterative adaptive approach. IET Radar, Sonar & Navigation 10: 1145-1152.
Qiang C, Quan-Sen S, Pheng Ann H, et al. (2010) Two-Stage Object Tracking Method Based on Kernel and Active Contour. IEEE Transactions on Circuits and Systems for Video Technology 20: 605-609.
Qiang W, Guangyou X and Haizhou A. (2003) Learning object intrinsic structure for robust visual tracking. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 II-227-II-233 vol.222.
Qinghua J and Suping Y. (2013) Motion Object Detection Based on Adaptive Mixture Gaussian Model and Four-Frame Subtraction. Fifth International Conference on Computational and Information Sciences (ICCIS), 2013. 1202-1205.
Raskin L. RE, Rudzsky M. (2008) Using Gaussian Process Annealing Particle Filter for 3D Human Tracking. EURASIP Journal on Advances in Signal Processing 2008: 13.
Sakuyama T, Funatomi T, Iiyama M, et al. (2015) Diffraction-Compensating Coded Aperture for Inspection in Manufacturing. IEEE Transactions on Industrial Informatics 11: 782-789.
Sanket NJ, Manikantan K and Ramachandran S. (2013) Recursive Binary Particle Swarm Optimization based Face Localization. Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on. 1-4.
Shabanifard M, Shayesteh MG and Akhaee MA. (2013) Forensic detection of image manipulation using the Zernike moments and pixel-pair histogram. IET Image Processing, 7.
Shang Z, Shang J, Cai X, et al. (2011) Active target tracking based on Mean Shift algorithm and color template matching. International Conference on Consumer Electronics, Communications and Networks (CECNet), 2011 1945-1948.
Sharifi A, Harati A and Vahedian A. (2014) Marker based human pose estimation using annealed particle swarm optimization with search space partitioning. Computer
103
and Knowledge Engineering (ICCKE), 2014 4th International eConference on. 135-140.
Shengli Z, Fei F, Guanglie Z, et al. (2014) 2D Human Gesture Tracking and Recognition by the Fusion of MEMS Inertial and Vision Sensors. IEEE Sensors Journal 14: 1160-1170.
Shih HC and Yu KC. (2016) A New Model-Based Rotation and Scaling-Invariant Projection Algorithm for Industrial Automation Application. IEEE Transactions on Industrial Electronics 63: 4452-4460.
Shilin Z. (2011) A fast video frame segmentation scheme. 3rd International Conference on Computer Research and Development (ICCRD), 2011 179-182.
Shin Y-B and Kita E. (2014) Search performance improvement of Particle Swarm Optimization by second best particle information. Applied Mathematics and Computation 246: 346-354.
Siddiqui M and Medioni G. (2006) Real Time Limb Tracking with Adaptive Model Selection. 18th International Conference on Pattern Recognition, 2006. ICPR 2006 770-773.
Singh S BM-A, Jones T, Carpenter A. (2014) Pipeline for illumination correction of images for high-throughput microscopy. Journal of Microscopy 256: 6.
Song X. CJ, Zha H., Zhao H. (2008) Probabilistic detection-based particle filter for multi-target tracking. Proc. of British Machine Vision Conference. 223–232. Song X. WB, Cui J., Zhao H., Shao X., Shibasaki R., Zha H. (2009) A boosted JPDA
particle filter for multi-target tracking. Proc. Asian Workshop on Sensing and Visualization of City-Human Interaction (AWSVCI ). 1-4.
Sorkunlu N, Sahin U and Sahin F. (2013) Block Matching with Particle Swarm Optimization for Motion Estimation. 2013 IEEE International Conference on Systems, Man, and Cybernetics. 1306-1311.
Souded M, Giulieri L and Bremond F. (2011) An Object Tracking in Particle Filtering and Data Association Framework, Using SIFT Features. International Conference on Imaging for Crime Detection and Prevention (ICDP). London, United Kingdom.
Stefano LD and Mattoccia S. (2003) Fast template matching using bounded partial correlation. Mach. Vision Appl. 13: 213-221.
Su, x, ru, et al. (2010) Detecting and tracking moving objects in real time images via active camera. IEEE 18th Signal Processing and Communications Applications Conference (SIU), 2010. 764-767.
104
Sugandi B, Kim H, Tan J, et al. (2009) A moving object tracking based on color information employing a particle filter algorithm. Artificial Life and Robotics 14: 39-42.
Tao L, Chung RHY and Chow KP. (2014) A Novel Object Segmentation Method for Silhouette Tracker in Video Surveillance Application. International Conference on Computational Science and Computational Intelligence (CSCI), 2014 103-107.
Tianze C and Limin C. (2014) A Union Matching Method for SAR Images Based on SIFT and Edge Strength. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 7: 4897-4906.
Tong M and Houqin B. (2010) 3D Human Tracking by Using Shared Latent Dynamical Model. International Conference on Artificial Intelligence and Computational Intelligence (AICI), 2010. 345-349.
Torres SP and Castro CA. (2012) Parallel particle swarm optimization applied to the static Transmission Expansion Planning problem. Transmission and Distribution: Latin America Conference and Exposition (T&D-LA), 2012 Sixth IEEE/PES. 1-6.
Veenman CJ, Reinders MJT and Backer E. (2001) Resolving motion correspondence for densely moving points. IEEE Transactions on Pattern Analysis and Machine Intelligence 23: 54-72.
Wang J. YYg, Man H. (2008) Multiple Human Tracking Using Particle Filter with Gaussian Process Dynamical Model. EURASIP Journal on Image and Video Processing 2008.
Wang Y-C, Han C-C, Hsieh C-T, et al. (2014) Vehicle color classification using manifold learning methods from urban surveillance videos. EURASIP Journal on Image and Video Processing 2014: 1-20.
Wanli O, Renqi Z and Wai-Kuen C. (2013) Segmented Gray-Code Kernels for Fast Pattern Matching. IEEE Transactions on Image Processing 22: 1512-1525. Watada J, Musa Z, Jain L, et al. (2010) Human Tracking: A State-of-Art Survey. In:
Setchi R, Jordanov I, Howlett R, et al. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. Springer Berlin Heidelberg, 454-463.
Wei S, Chen Z, Li M, et al. (2009) An Improved Method of Motion Detection Based on Temporal Difference. International Workshop on Intelligent Systems and Applications, 2009. ISA 2009. 1-4.
105
Weiming H, Wei L, Xiaoqin Z, et al. (2015) Single and Multiple Object Tracking Using a Multi-Feature Joint Sparse Representation. IEEE Transactions on Pattern Analysis and Machine Intelligence 37: 816-833.
Weng S-K, Kuo C-M and Tu S-K. (2006) Video object tracking using adaptive Kalman filter. J. Vis. Comun. Image Represent 17: 1190-1208.
Wenxi L, Chan AB, Lau RWH, et al. (2015) Leveraging Long-Term Predictions and Online Learning in Agent-Based Multiple Person Tracking. Circuits and Systems for Video Technology, IEEE Transactions on 25: 399-410.
Widyawan, Zul MI and Nugroho LE. (2012) Adaptive motion detection algorithm using frame differences and dynamic template matching method. 9th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2012 236-239.
Xiaoxiang L, Weigang J, Jianwen X, et al. (2009) An image template matching method using particle swarm optimization. Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on. 83-86.
Xiu C and Li H. (2016) Template matching tracking method based on target decomposition. 2016 Chinese Control and Decision Conference (CCDC). 3616-3619.
Xu Y, Wang J, Li H, et al. (2016) Patch-based Scale Calculation for Real-time Visual Tracking. IEEE Signal Processing Letters 23: 40-44.
Yamamoto T and Chellappa R. (2003) Shape and motion driven particle filtering for human body tracking. International Conference on Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 III-61-64 vol.63.
Yan-Chen L, Sheng-Yan Y and Der-Chun C. (2011) Background Subtraction Based Segmentation Using Object Motion Feedback. First International Conference on Robot, Vision and Signal Processing (RVSP), 2011 224-227.
Yang J, Vela PA, Shi Z, et al. (2009) Probabilistic multiple people tracking through complex situations. Performance Evaluation of Tracking and Surveillance workshop at CVPR 2009. 79-86.
Yang X-S. (2014) Swarm intelligence based algorithms: a critical analysis. Evolutionary Intelligence 7: 17-28.
Yasuda N and Aoki M. (2005) Pedestrian detection and tracking in far infrared images. IEEE Intelligent Transportation Systems, 2005. Proceedings. 2005 182-187.
106
Yeoh PY and Abu-Bakar SAR. (2003) Maximum entropy method (MEM) for accurate motion tracking. Conference on Convergent Technologies for the Asia-Pacific Region TENCON 2003. 345-349 Vol.341.
Yilmaz A, Javed O and Shah M. (2006) Object tracking: A survey. ACM Comput. Surv. 38: 13.
Yin H, Chai Y, Yang SX, et al. (2011) Fast-moving target tracking based on mean shift and frame-difference methods. Journal of Systems Engineering and Electronics 22: 587-592.
Yokoi K. (2010) Probabilistic BPRRC: Robust Change Detection against Illumination Changes and Background Movements. IEICE Transactions on Information and Systems E39.D: 7.
Yokoyama M and Poggio T. (2005) A contour-based moving object detection and tracking. 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005. 271-276.
Yonghong L, Xiyu X, Xiaohua S, et al. (2010) Vehicle Tracking Method Using Background Subtraction and MeanShift Algorithm. International Conference on E-Product E-Service and E-Entertainment (ICEEE), 2010 1-4.
You L and Xiu C. (2011) Template Matching Algorithm Based on Edge Detection. International Symposium on Computer Science and Society (ISCCS), 2011 7-9.
Yuan L, Haizhou A, Yamashita T, et al. (2008) Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans. IEEE Transactions on Pattern Analysis and Machine Intelligence 30: 1728-1740.
Yue W, Teoh EK and Dinggang S. (1999) Lane detection using B-snake. International Conference on Information Intelligence and Systems, 1999. 438-443.
Yun Y and Yunyi L. (2011) An improved background and foreground modeling using kernel density estimation in moving object detection. Computer Science and Network Technology (ICCSNT), 2011 International Conference on. 1050-1054.
Zaveri MA, Merchant SN and Desai UB. (2007) Wavelet-Based Detection and Its Application to Tracking in an IR Sequence. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 37: 1269-1286.
Zhang B, Yang H and Yin Z. (2015) A Region-Based Normalized Cross Correlation Algorithm for the Vision-Based Positioning of Elongated IC Chips. IEEE Transactions on Semiconductor Manufacturing 28: 345-352.
107
Zhang M, Song Y and Song Y. (2012) Multiple features fusion targets tracking method based on particle filter. 31st Chinese Control Conference (CCC), 2012 5042-5047.
Zhao G-p, Yin M-f and Chen Y. (2013) Image salient region detection based on histogram. 32nd Chinese Control Conference (CCC), 2013 3570-3574.
Zhao X, Lin W, Hao J, et al. (2016) Clustering and pattern search for enhancing particle swarm optimization with Euclidean spatial neighborhood search. Neurocomput. 171: 966-981.
Zhi-Kai H, Yun-Ming X, De-Hui L, et al. (2009) Using Fuzzy C-means Cluster for Histogram-Based Color Image Segmentation. International Conference on Information Technology and Computer Science, 2009. ITCS 2009. 597-600.
Zhi L, Liquan S, Zhongmin H, et al. (2007) A Novel Video Object Tracking Approach Based on Kernel Density Estimation and Markov Random Field. IEEE International Conference on Image Processing, 2007. ICIP 2007. III - 373-III - 376.
Zhijun Q, Danya Y, Yi Z, et al. (2003) The study of the detection of pedestrian and bicycle using image processing. Proceedings. 2003 IEEE Intelligent Transportation Systems, 2003. 340-345 vol.341.
Zhiwen C, Jianzhong C, Yao T, et al. (2011) Tracking of moving object based on optical flow detection. International Conference on Computer Science and Network Technology (ICCSNT), 2011 1096-1099.
Zhong B, Yao H, Liu S, et al. (2010) Local histogram of figure/ground segmentations for dynamic background subtraction. EURASIP J. Adv. Signal Process 2010: 1-14.
Zhu Y and Zhi-Qiang L. (2006) Tracking Human Hand Motion Using Genetic Particle Filter. IEEE International Conference on Systems, Man and Cybernetics, 2006. SMC '06. 4942-4947.