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» Detecting and Tracking Moving Objects for Video Surveillance
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ICPR
2006
IEEE
15 years 7 months ago
Part Based Human Tracking In A Multiple Cues Fusion Framework
This paper presents a real time video surveillance system which is capable of tracking multiple humans simultaneously. To better deal with various challenging issues such as occlu...
Qi Zhao, Jinman Kang, Hai Tao, Wei Hua
DCOSS
2005
Springer
15 years 7 months ago
Design and Analysis of Wave Sensing Scheduling Protocols for Object-Tracking Applications
Abstract. Many sensor network applications demand tightly-bounded object detection quality. To meet such stringent requirements, we develop three sensing scheduling protocols to gu...
Shansi Ren, Qun Li, Haining Wang, Xiaodong Zhang
CVPR
2008
IEEE
16 years 3 months ago
Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects
This paper presents a novel approach for tracking humans and objects under severe occlusion. We introduce a new paradigm for multiple hypotheses tracking, observe-and-explain, as ...
Michael S. Ryoo, Jake K. Aggarwal
128
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CVPR
2008
IEEE
16 years 3 months ago
Drift-free tracking of rigid and articulated objects
Model-based 3D tracker estimate the position, rotation, and joint angles of a given model from video data of one or multiple cameras. They often rely on image features that are tr...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
ICASSP
2011
IEEE
14 years 5 months ago
Video anomaly recovery from compressed spectral imaging
This paper addresses the problem of video anomaly recovery from a sequence of spectrally compressed video frames. Analysis of anomalies occurring in both time and spectrum is impo...
Ana B. Ramirez, Henry Arguello, Gonzalo R. Arce