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» Detecting and Tracking Moving Objects for Video Surveillance
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ACIVS
2007
Springer
13 years 11 months ago
Patch-Based Experiments with Object Classification in Video Surveillance
We present a patch-based algorithm for the purpose of object classification in video surveillance. Within detected regions-of-interest (ROIs) of moving objects in the scene, a feat...
Rob G. J. Wijnhoven, Peter H. N. de With
ICRA
2007
IEEE
170views Robotics» more  ICRA 2007»
14 years 1 months ago
Space-time A Contrario Clustering for Detecting Coherent Motions
Abstract— This paper presents a method for detecting independent temporally-persistent motion patterns in image sequences. The result is a description of the dynamic content of a...
Thomas Veit, Frédéric Cao, Patrick B...
AVSS
2005
IEEE
14 years 1 months ago
A multi-feature object association framework for overlapped field of view multi-camera video surveillance systems
This work describes a data fusion technique to improve performances in objects localization and tracking for automatic video surveillance systems. The developed strategy is design...
Stefano Piva, Alessandro Calbi, Daniele Angiati, C...
IVC
2008
94views more  IVC 2008»
13 years 7 months ago
Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity
A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three e...
Brandon Bennett, Derek R. Magee, Anthony G. Cohn, ...
ISCAS
2005
IEEE
171views Hardware» more  ISCAS 2005»
14 years 1 months ago
Compressed-domain fall incident detection for intelligent home surveillance
—This paper presents a compressed-domain fall incident detection scheme for intelligent home surveillance applications. For object extraction, global motion parameters are estima...
Chia-Wen Lin, Zhi-Hong Ling, Yuan-Cheng Chang, Chu...