[PDF] Top 20 Robust Video Target Tracking Based on Multi-feature Fusion and H∞ Filtering
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Robust Video Target Tracking Based on Multi-feature Fusion and H∞ Filtering
... matching based tracking methods extract target features which can describe video target robustly, accurately and discriminatively, and then calculate the matching degree between the ... See full document
20
A Robust Real Time People tracking and Counting incorporating shadow detection and removal
... the feature based multi-class tracking scheme, the actual status of the people pattern in the current frame is now ...reverse tracking method is proposed for better accuracy in the ... See full document
8
Multi-feature Fusion Tracking Based on A New Particle Filter
... object tracking, and get rapid development in this field ...the filtering performance effectively, because the algorithm fused the new measurement information into the importance probability density ...the ... See full document
9
Driver Assistant System: Robust Segmentation based on Topological Persistent Analysis and Multi-target Tracking based on Dynamic Programming.
... the video sequence, with minor performance ...provide robust information for ...our tracking algorithm is the basic segmentation result and not from any classification ...the tracking even ... See full document
77
A Robust Multi Target Visual Tracking Method using TLD Framework
... a robust multi-target visual tracking method based on TLD ...visual tracking method that divides the long-term tracking task into four parts: tracker module, learning ... See full document
6
Point Target Detection in Space-Based Infrared Imaging System Based on Multi-Direction Filtering Fusion
... Abstract—Point target detection in space-based infrared (IR) imaging system is an important task in many applications such as IR searching and tracking and remote ...method based on ... See full document
12
Tracking Video Target via Particle Filtering on Manifold
... particle filtering-based video target tracking algorithms are in Euclidean space, when object posture and scale size changes, and to track high dimensional system, it is difficult to ... See full document
7
Feature Classification for Robust Shape-Based Collaborative Tracking and Model Updating
... priori target model and a fixed 3D model of the ...filter tracking framework along with a mixture density model as well as an o ffl ine learned Adaboost ...rate video, their method needs an offline ... See full document
21
Augmented filtering based on information weighted consensus fusion for simultaneous localization and tracking via wireless sensor networks
... and tracking (SLAT) has gained great research interest ...computes target tra- jectories. One typical example is the SLAT framework based on Bayesian inference proposed in [1], in which the sensor ... See full document
7
Marginalised Stacked Denoising Autoencoders for Robust Representation of Real Time Multi View Action Recognition
... more robust decisions on both tracking multiple targets and analysing complex human activities, especially where there are ...a feature fusion approach to efficiently combine 2D observations ... See full document
24
Image-Based Multi-Target Tracking Through Multi-Bernoulli Filtering with Interactive Likelihoods
... Multi-target tracking (MTT) is a well-researched problem, with a history going back over 50 years [1], however, it remains an open research problem ... See full document
21
Robust Object Tracking Based on Complementary Feature Fusion and Channel Reliability
... a robust object tracking algorithm which has three ...parts: robust tracker with complementary feature and reliability validator which can detect and correct error for ...the target, ... See full document
6
Particle filter Multi target Tracking Algorithm Based on Dynamic Salient Features
... salient feature presented in the paper simulates the features of human visual system for observation with superior capability in detecting a number of moving ...salient feature is combined with open ... See full document
12
Pig target tracking algorithm based on multi-channel color feature fusion
... of tracking the target of the pig, as the size of the tracking target changes in the video image, the tracking target scale cannot be adaptively updated in real-time, ... See full document
6
Multi Feature Based Multiple Particle Filters for Object Tracking
... filter based tracking methods are widely used in video object tracking applications due to the deterministic sampling approach [9] and its ability of managing multiple hypotheses ...of ... See full document
8
Multi-feature Fusion Based Image Retrieval Scheme
... A database consists of large number of images with different formats. The features of the query image which is an input to the system and the image database are extracted to obtain the query feature and the ... See full document
8
Adaptive template matching algorithm based on SWAD for robust target tracking
... in video coding and disparity computation for its ...in tracking applications due to issues like partial occlusion and target changes, which can dramatically affect its ...for target ... See full document
9
Robust H∞ Observer Based Tracking Control for the Photovoltaic Pumping System
... posed. The designed controller ensures the optimum of power and guarantees a better flow of water. The stabili- ty conditions are given in terms of LMIs, which can be solved in one single step-procedure to determine the ... See full document
13
Robust Object Tracking under Cluttered Environment
... a robust method for detection and tracking of object (Human) is described in the video having cluttered ...is based on selection of spatio-temporal interest ...object tracking system we ... See full document
9
A Novel Robust Approach for Moving Object Detection and Tracking in Video Surveillance System
... and tracking is the important stage in the computer vision applications such as robotics, man-free control systems, and the visual ...during tracking process, which leads to the drift in the ...as ... See full document
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