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» Motion Strategies for Surveillance
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ICPR
2000
IEEE
14 years 9 months ago
Tracking Humans from a Moving Platform
Research at the Computer Vision Laboratory at the University of Maryland has focussed on developing algorithms and systems that can look at humans and recognize their activities i...
Larry S. Davis, Vasanth Philomin, Ramani Duraiswam...
ICPR
2008
IEEE
14 years 2 months ago
Evaluation of clustering methods for finding dominant optical flow fields in crowded scenes
Video footage of real crowded scenes still poses severe challenges for automated surveillance. This paper evaluates clustering methods for finding independent dominant motion fi...
Günther Eibl, Norbert Brändle
AMFG
2007
IEEE
251views Biometrics» more  AMFG 2007»
14 years 2 months ago
Human Perambulation as a Self Calibrating Biometric
Abstract. This paper introduces a novel method of single camera gait reconstruction which is independent of the walking direction and of the camera parameters. Recognizing people b...
Michela Goffredo, Nicholas Spencer, Daniel Pearce,...
AVSS
2006
IEEE
14 years 2 months ago
Activity Topology Estimation for Large Networks of Cameras
Estimating the paths that moving objects can take through the fields of view of possibly non-overlapping cameras, also known as their activity topology, is an important step in t...
Anton van den Hengel, Anthony R. Dick, Rhys Hill
ASC
2008
13 years 8 months ago
Dynamic classification for video stream using support vector machine
A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new `incremental' framework for multiple-classifying video stream da...
Mariette Awad, Yuichi Motai