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» Tracking objects in video using motion and appearance models
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CIRA
2007
IEEE
274views Robotics» more  CIRA 2007»
14 years 3 months ago
Adaptive Object Tracking using Particle Swarm Optimization
—This paper presents an automatic object detection and tracking algorithm by using particle swarm optimization (PSO) based method, which is a searching algorithm inspired by the ...
Yuhua Zheng, Yan Meng
ICCV
2005
IEEE
14 years 2 months ago
HMM Based Falling Person Detection Using Both Audio and Video
Automatic detection of a falling person in video is an important problem with applications in security and safety areas including supportive home environments and CCTV surveillance...
B. Ugur Töreyin, Yigithan Dedeoglu, A. Enis &...
ICASSP
2011
IEEE
13 years 28 days ago
Efficient block-division model for robust multiple object tracking
Tracking multiple objects under occlusion is one of the most challenging issues in computer vision. Occlusion results in mistaken match when finding the most similar candidate. A...
Wenhan Luo, Xiaoqin Zhang, Yang Liu, Xi Li, Weimin...
ICIP
2001
IEEE
14 years 10 months ago
Supervised segmentation and tracking of nonrigid objects using a "mixture of histograms" model
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
Mark Everingham, Barry T. Thomas
CVPR
2008
IEEE
14 years 11 months ago
Multi-object shape estimation and tracking from silhouette cues
This paper deals with the 3D shape estimation from silhouette cues of multiple moving objects in general indoor or outdoor 3D scenes with potential static obstacles, using multipl...
Li Guan, Jean-Sébastien Franco, Marc Pollef...