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» Detecting and Tracking Moving Objects for Video Surveillance
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ICPR
2008
IEEE
16 years 1 months ago
Detecting global motion patterns in complex videos
Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
Min Hu, Mubarak Shah, Saad Ali
CVPR
2011
IEEE
14 years 7 months ago
A Large-scale Benchmark Dataset for Event Recognition in Surveillance Video
We introduce a new large-scale video dataset designed to assess the performance of diverse visual event recognition algorithms with a focus on continuous visual event recognition ...
Sangmin Oh, Anthony Hoogs, A.G.Amitha Perera, Chia...
CRV
2005
IEEE
219views Robotics» more  CRV 2005»
15 years 5 months ago
People Tracking using Robust Motion Detection and Estimation
Real world computer vision systems highly depend on reliable, robust retrieval of motion cues to make accurate decisions about their surroundings. In this paper, we present a simp...
Markus Latzel, Emilie Darcourt, John K. Tsotsos
CVPR
2009
IEEE
1413views Computer Vision» more  CVPR 2009»
16 years 7 months ago
Learning Semantic Scene Models by Object Classification and Trajectory Clustering
The visual surveillance task is to monitor the activity of objects in a scene. In far-field settings (i.e., wide outdoor areas), the majority of visible activities are objects movi...
Hanqing Lu, Stan Z. Li, Tianzhu Zhang
ICMCS
2006
IEEE
181views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Human Object Tracking Algorithm with Human Color Structure Descriptor for Video Surveillance Systems
Segmentation, tracking, and description extraction are important operations in smart camera surveillance systems. In this paper, a robust segmentation-and-descriptor based trackin...
Shao-Yi Chien, Wei-Kai Chan, Der-Chun Cherng, Jing...