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» Capturing People in Surveillance Video
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CVPR
2003
IEEE
14 years 9 months ago
Illumination Normalization with Time-dependent Intrinsic Images for Video Surveillance
Cast shadows produce troublesome effects for video surveillance systems, typically for object tracking from a fixed viewpoint, since it yields appearance variations of objects dep...
Yasuyuki Matsushita, Ko Nishino, Katsushi Ikeuchi,...
ICPR
2004
IEEE
14 years 8 months ago
Multi Feature Path Modeling for Video Surveillance
This paper proposes a novel method for detecting nonconforming trajectories of objects as they pass through a scene. Existing methods mostly use spatial features to solve this pro...
Imran N. Junejo, Mubarak Shah, Omar Javed
ICIP
2010
IEEE
13 years 5 months ago
Quantization optimized H.264 encoding for traffic video tracking applications
The compression of video can reduce the accuracy of post-compression tracking algorithms. This is problematic for centralized applications such as traffic surveillance systems, wh...
Eren Soyak, Sotirios A. Tsaftaris, Aggelos K. Kats...
CVPR
2011
IEEE
13 years 3 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...
ICRA
2005
IEEE
162views Robotics» more  ICRA 2005»
14 years 1 months ago
Learning to Track Multiple People in Omnidirectional Video
— Meetings are a very important part of everyday life for professionals working in universities, companies or governmental institutions. We have designed a physical awareness sys...
Fernando De la Torre, Carlos Vallespí, Paul...