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» Object Classification and Tracking in Video Surveillance
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AVSS
2007
IEEE
14 years 2 months ago
Experiments with patch-based object classification
We present and experiment with a patch-based algorithm for the purpose of object classification in video surveillance. A feature vector is calculated based on template matching o...
Rob G. J. Wijnhoven, Peter H. N. de With
ICIP
2006
IEEE
14 years 9 months ago
Video Surveillance using Dynamic Configuration of Mutiple Active Cameras
In this paper, we present a coordinated video surveillance system that can minimize the spatial limitation and can precisely extract the 3D position of objects. To do this, our sy...
Nyoun Kim, Ig-Jae Kim, Hyoung-Gon Kim
ICPR
2004
IEEE
14 years 9 months ago
Probabilistic Classification Between Foreground Objects and Background
Tracking of deformable objects like humans is a basic operation in many surveillance applications. Objects are detected as they enter the field of view of the camera and they are ...
Paul J. Withagen, Klamer Schutte, Frans C. A. Groe...
CVPR
2011
IEEE
13 years 2 months ago
Stable Multi-Target Tracking in Real-Time Surveillance Video
The majority of existing pedestrian trackers concentrate on maintaining the identities of targets, however systems for remote biometric analysis or activity recognition in surveill...
Ben Benfold and Ian Reid
ICPR
2008
IEEE
14 years 2 months ago
Image transformation for object tracking in high-resolution video
We propose a new method for warping highresolution images to efficiently track objects on the ground plane in real time. Recently, the emergence of high resolution video cameras (...
Tae Eun Choe, Krishnan Ramnath, Mun Wai Lee, Niels...