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model based video segmentation

Motion Segmentation and Retrieval for 3D Video Based on Modified Shape Distribution

Motion Segmentation and Retrieval for 3D Video Based on Modified Shape Distribution

... However, histograms using the original shape distribu- tion cannot be generated stably because of the random sam- pling of the 3D surface. Figure 2 shows 30 histograms gen- erated for the same 3D model selected ...

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Dynamic Vehicle Tracking and Detection For Self Driving Using FCM Algorithm

Dynamic Vehicle Tracking and Detection For Self Driving Using FCM Algorithm

... measurement model, combinedwith our newly modified FCM video segmentation algorithm and Hough transform feature extraction, is proposed to estimate the poses of the vehicles where it can naturally ...

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Object Tracking for Video Surveillance System Based On Cellular Automata Segmentation

Object Tracking for Video Surveillance System Based On Cellular Automata Segmentation

... formation model, discontinuities in image brightness, discontinuities in depth, and discontinuities in surface orientation, changes in material properties and Variations in scene ...

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Audio video based Segmentation and Classification using SVM and AANN

Audio video based Segmentation and Classification using SVM and AANN

... is based on structural risk minimization prin- ciple and finds the best balance between the model complexity and learning ability according to the limited sample of informa- ...

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An Emphasizing Approach based on Enhanced Intuitionistic Fuzzy Logic Segmentation on Objects in Video Sequences

An Emphasizing Approach based on Enhanced Intuitionistic Fuzzy Logic Segmentation on Objects in Video Sequences

... image segmentation when working with the uncleared edges to identify accurate region this was overcome with the idea of Atanassova’s innovation namely intuitionistic fuzzy Logic which reflects the better aspects ...

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Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos

Enhancing the Potential of the Conventional Gaussian Mixture Model for Segmentation: from Images to Videos

... tiresolution based GMM parameters such as the level of decomposition and learning rate, can also be tuned for specific applications like highway surveillance, convenience store CCTV ...

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 BACKGROUND NORMALIZATION AND TEXTURE PATTERN-BASED VIDEO SEGMENTATION FOR VISUAL TRACKING

 BACKGROUND NORMALIZATION AND TEXTURE PATTERN-BASED VIDEO SEGMENTATION FOR VISUAL TRACKING

... technique based on the textural pattern analysis to verify the matching of the features for the target region ...novel model of background clustering is presented by using Multi-Weighted Chain Prediction ...

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2D to 3D Video COnversion

2D to 3D Video COnversion

... 3D video applications becoming popular in our daily life, especially at home ...3D video content are still not rich enough to satisfy the future 3D video ...2D video content to stereoscopic 3D ...

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Morphological differential gradient active 
		contours for rolling stock segmentation in train bogies

Morphological differential gradient active contours for rolling stock segmentation in train bogies

... camera model. The video frames are captured under different time steps of the day near a railway station when the train is moving at ...wavelet based fusion to enhance contrast. After testing with a ...

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Temporally consistent region based video segmentation

Temporally consistent region based video segmentation

... in video to produce more accurate and robust segm entation ...image segmentation. Therefore, video segm entation m ethods inherit algorithm s from the image segm entation domain for spatial segm ...

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Denoising of Surveillance Video Using Adaptive Gaussian Mixture Model Based Segmentation Towards Effective Video Parameters Measurement

Denoising of Surveillance Video Using Adaptive Gaussian Mixture Model Based Segmentation Towards Effective Video Parameters Measurement

... Where ρ is directly proportional to α and it has a major impact in the update speed of µ-σ.As the weight changes, ρ may become very large, even larger than 1, so it is necessary to set an upper limitation for ρ.One of ...

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Insignificant shadow detection for video segmentation

Insignificant shadow detection for video segmentation

... In the literature, much work has been done on significant shadow detection [3], [6], [7], [10], [14], [17], [19], [21]. However, less work [4], [6], [20] can be found on insignificant shadow detection, which is more ...

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Survey On Abandoned Object Detection

Survey On Abandoned Object Detection

... in video, which is based on image ...image segmentation all objects in video can be detected whether they are moving or not by using segmentation results of successive ...time ...

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Temporal Segmentation of MPEG Video Streams

Temporal Segmentation of MPEG Video Streams

... Many algorithms for temporal video partitioning rely on the analysis of uncompressed video features. Since the information relevant to the partitioning process can be extracted directly from the MPEG ...

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Filter Particles Approach Video Prominently Faces Location

Filter Particles Approach Video Prominently Faces Location

... OBJECT SEGMENTATION AND TRACKING Video object segmentation is used to identify regions of interest in a scene and is one of the most challenging tasks in video ...understanding, video ...

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Enhanced ROI (Region of Interest Algorithms) for Medical Image Compression

Enhanced ROI (Region of Interest Algorithms) for Medical Image Compression

... The MRC approach has two processes. The first process is plane decomposition and the second stage is the plane composition process. The plane decomposition is used to segment the image and the plan composition is used ...

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A Lvq-Based Temporal Tracking for Semi-Automatic Video Object Segmentation

A Lvq-Based Temporal Tracking for Semi-Automatic Video Object Segmentation

... of video object segmentation come from complex and cluttered background, lighting perspective, deformation of object, color similarities between object and background, video sequence image noise, ...

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APPENDIX-II Outdoor Scene Image Segmentation- State of the Art

APPENDIX-II Outdoor Scene Image Segmentation- State of the Art

... image segmentation uses one of a number of classes ...pixel based on a joint appearance, shape and context ...discriminative model for object class is learned incorporating texture, layout and ...

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Anthropocentric Video Segmentation for Lecture Webcasts

Anthropocentric Video Segmentation for Lecture Webcasts

... a video in a separate window side-by- side with the chalkboard content is suboptimal be- cause of layout constraints and known cognitive ...standard video camera and is then separated by a novel ...

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Language Model Based Arabic Word Segmentation

Language Model Based Arabic Word Segmentation

... Evaluations have been performed on a development test corpus containing 28,449 word tokens. The test set is extracted from 20001115_AFP_ARB.0060.xml.txt through 20001115_AFP_ARB.0236.xml.txt of the LDC Arabic Treebank: ...

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