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» Object Classification in Visual Surveillance Using Adaboost
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CVPR
2007
IEEE
15 years 11 months ago
Multi-Object Tracking Using Color, Texture and Motion
In this paper, we introduce a novel real-time tracker based on color, texture and motion information. RGB color histogram and correlogram (autocorrelogram) are exploited as color ...
Matti Pietikäinen, Valtteri Takala
AVSS
2009
IEEE
14 years 7 months ago
Multimodal Abandoned/Removed Object Detection for Low Power Video Surveillance Systems
Low-cost and low-power video surveillance systems based on networks of wireless video sensors will enter soon the marketplace with the promise of flexibility, quick deployment an...
Michele Magno, Federico Tombari, Davide Brunelli, ...
TROB
2002
244views more  TROB 2002»
14 years 9 months ago
Distributed surveillance and reconnaissance using multiple autonomous ATVs: CyberScout
The objective of the CyberScout project is to develop an autonomous surveillance and reconnaissance system using a network of all-terrain vehicles. In this paper, we focus on two f...
Mahesh Saptharishi, C. Spence Oliver, Christopher ...
ICPR
2004
IEEE
15 years 10 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...
ICIP
2008
IEEE
15 years 3 months ago
Robust automated ground plane rectification based on moving vehicles for traffic scene surveillance
Most outdoor visual surveillance scenes involve objects of interest moving on the ground plane. However, perspective distortion introduces many difficulties to various applicatio...
Zhaoxiang Zhang, Min Li, Kaiqi Huang, Tieniu Tan