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ICASSP
2011
IEEE
9 years 1 months ago
A probabilistic pixel-based approach to detect humans in video streams
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic. This paper ...
Sébastien Piérard, Antoine Lejeune, ...
MVA
2002
226views Computer Vision» more  MVA 2002»
9 years 9 months ago
Adaptive Background Estimation and Shadow Removal in Indoor Scenes
2 Background Model Background subtraction algorithm is susceptible to both global and local illumination changes such as shadows, sunlight and reflection. These changes sometimes c...
Junya Morita, Yoshio Iwai, Masahiko Yachida
DICTA
2008
9 years 11 months ago
GPU Accelerated Multimodal Background Subtraction
Although trivial background subtraction algorithms (such as temporal averaging) can execute quite quickly, they do not give useful results in most situations. More complex algorit...
Peter Carr
ISVC
2005
Springer
10 years 3 months ago
Background Updating for Visual Surveillance
Scene changes such as moved objects, parked vehicles, or opened/closed doors need to be carefully handled so that interesting foreground targets can be detected along with the shor...
Kyungnam Kim, David Harwood, Larry S. Davis
ICMCS
2007
IEEE
194views Multimedia» more  ICMCS 2007»
10 years 3 months ago
Automatically Tuning Background Subtraction Parameters using Particle Swarm Optimization
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
Brandyn White, Mubarak Shah
ICIP
2004
IEEE
10 years 11 months ago
A fine-structure image/video quality measure using local statistics
An objective no-reference measure is presented to assess fine-structure image/video quality. It was designed to measure image/video quality for video surveillance applications, es...
Kyungnam Kim, Larry S. Davis
CVPR
2008
IEEE
10 years 11 months ago
Real time object tracking based on dynamic feature grouping with background subtraction
Object detection and tracking has various application areas including intelligent transportation systems. We introduce an object detection and tracking approach that combines the ...
ZuWhan Kim
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