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» Tracking with Multiple Cameras for Video Surveillance
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3DPVT
2006
IEEE
170views Visualization» more  3DPVT 2006»
15 years 5 months ago
Minimum Spanning Tree Pose Estimation
The extrinsic camera parameters from video stream images can be accurately estimated by tracking features through the image sequence and using these features to compute parameter ...
Kevin L. Steele, Parris K. Egbert
NOSSDAV
2005
Springer
15 years 5 months ago
The case for multi-tier camera sensor networks
In this position paper, we examine recent technology trends that have resulted in a broad spectrum of camera sensors, wireless radio technologies, and embedded sensor platforms wi...
Purushottam Kulkarni, Deepak Ganesan, Prashant J. ...
ICCV
2011
IEEE
13 years 3 months ago
Action Recognition in Videos Acquired by a Moving Camera Using Motion Decomposition of Lagrangian Particle Trajectories
Recognition of human actions in a video acquired by a moving camera typically requires standard preprocessing steps such as motion compensation, moving object detection and object ...
Shandong Wu, Omar Oreifej, and Mubarak Shah
CVPR
2009
IEEE
16 years 6 months ago
Monitoring, Recognizing and Discovering Social Networks
This work addresses the important problem of the discovery and analysis of social networks from surveillance video. A computer vision approach to this problem is made possible b...
Ting Yu, Ser Nam Lim, Kedar A. Patwardhan, Nils Kr...
ICCV
2007
IEEE
16 years 1 months ago
Stochastic Adaptive Tracking In A Camera Network
We present a novel stochastic, adaptive strategy for tracking multiple people in a large network of video cameras. Similarities between features (appearance and biometrics) observ...
Bi Song, Amit K. Roy Chowdhury