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» Multi Feature Path Modeling for Video Surveillance
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ICIP
2004
IEEE
14 years 8 months ago
Simultaneous background and foreground modeling for tracking in surveillance video
We present a stochastic tracking algorithm for surveillance video where targets are dim and at low resolution. The algorithm builds motion models for both background and foregroun...
Jie Shao, Shaohua Kevin Zhou, Rama Chellappa
ICRA
2009
IEEE
164views Robotics» more  ICRA 2009»
14 years 1 months ago
Assigning cameras to subjects in video surveillance systems
— We consider the problem of tracking multiple agents moving amongst obstacles, using multiple cameras. Given an environment with obstacles, and many people moving through it, we...
Hazem El-Alfy, David Jacobs, Larry Davis
FLAIRS
2006
13 years 7 months ago
Design, Implementation and Performance Analysis of Pervasive Surveillance Networks
Pervasive surveillance implies the continuous tracking of multiple targets as they move about the monitored region. The tasks to be performed by a surveillance system are expresse...
Amit Goradia, Zhiwei Cen, Clayton Haffner, Ning Xi...
ISCAS
2008
IEEE
197views Hardware» more  ISCAS 2008»
14 years 23 days ago
Human activity recognition for video surveillance
—This paper presents a novel approach for automatic recognition of human activities from video sequences. We first group features with high correlations into Category Feature Vec...
Weiyao Lin, Ming-Ting Sun, Radha Poovendran, Zheng...
CIVR
2009
Springer
134views Image Analysis» more  CIVR 2009»
14 years 28 days ago
Towards surveillance video search by natural language query
Spatial language video retrieval is an important real-world problem that is also a natural test bed for evaluating semantic structures for natural language descriptions of motion ...
Stefanie Tellex, Deb Roy