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» Detecting and Tracking Moving Objects for Video Surveillance
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ICIP
2005
IEEE
16 years 3 months ago
Visual tracking via efficient kernel discriminant subspace learning
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
ECCV
2006
Springer
15 years 5 months ago
Tracking of Multiple Objects Using Optical Flow Based Multiscale Elastic Matching
Abstract. A novel hybrid region-based and contour-based multiple object tracking model using optical flow based elastic matching is proposed. The proposed elastic matching model is...
Xingzhi Luo, Suchendra M. Bhandarkar
ICRA
2003
IEEE
163views Robotics» more  ICRA 2003»
15 years 6 months ago
A real-time robust eye tracking system for autostereoscopic displays using stereo cameras
− Autostereoscopic display systems can provide users a natural 3-D visualization environment by projecting stereo video onto the user's eyes. Eye position localization is a ...
Chan-Hung Su, Yong-Sheng Chen, Yi-Ping Hung, Chu-S...
WINET
2010
88views more  WINET 2010»
14 years 11 months ago
Tree-based object tracking without mobility statistics in wireless sensor networks
Object tracking in wireless sensor networks is to track mobile objects by scattered sensors. These sensors are typically organized into a tree to deliver report messages upon dete...
Li-Hsing Yen, Bang Ye Wu, Chia-Cheng Yang
AVSS
2008
IEEE
15 years 8 months ago
Object and Scene-Centric Activity Detection Using State Occupancy Duration Modeling
We propose a video event analysis framework based on object segmentation and tracking, combined with a Hidden Semi-Markov Model (HSMM) that uses state occupancy duration modeling....
Murtaza Taj, Andrea Cavallaro