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154
Voted
CVPR
2010
IEEE
15 years 3 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah
93
Voted
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
15 years 9 months ago
Fast sensory motor control based on event-based hybrid neuromorphic-procedural system
—Fast sensory-motor processing is challenging when using traditional frame-based cameras and computers. Here we show how a hybrid neuromorphic-procedural system consisting of an ...
Tobi Delbrück, Patrick Lichtsteiner
163
Voted
CVPR
2011
IEEE
14 years 11 months ago
Monocular 3D Scene Understanding with Explicit Occlusion Reasoning
Scene understanding from a monocular, moving camera is a challenging problem with a number of applications including robotics and automotive safety. While recent systems have show...
Christian Wojek, Stefan Walk, Stefan Roth, Bernt S...
140
Voted
ACCV
2010
Springer
14 years 10 months ago
MRF-Based Background Initialisation for Improved Foreground Detection in Cluttered Surveillance Videos
Abstract. Robust foreground object segmentation via background modelling is a difficult problem in cluttered environments, where obtaining a clear view of the background to model i...
Vikas Reddy, Conrad Sanderson, Andres Sanin, Brian...
CVPR
1999
IEEE
16 years 5 months ago
Bayesian Multi-Camera Surveillance
The task of multi-camera surveillance is to reconstruct the paths taken by all moving objects that are temporarily visible from multiple non-overlapping cameras. We present a Baye...
Vera Kettnaker, Ramin Zabih