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» A Statistical Field Model for Pedestrian Detection
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CVPR
2005
IEEE
14 years 6 months ago
A Statistical Field Model for Pedestrian Detection
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
Ying Wu, Ting Yu, Gang Hua
GECCO
2005
Springer
129views Optimization» more  GECCO 2005»
13 years 10 months ago
Optimization of passenger car design for the mitigation of pedestrian head injury using a genetic algorithm
The problem of pedestrian injury is a significant one throughout the world. In 2001, there were 4724 pedestrian fatalities in Europe and 4882 in the US. Significant advances have ...
Emma Carter, Steve Ebdon, Clive Neal-Sturgess
ICCV
2011
IEEE
12 years 4 months ago
Conditional Random Fields for Multi-Camera Object Detection
We formulate a model for multi-class object detection in a multi-camera environment. From our knowledge, this is the first time that this problem is addressed taken into account ...
Xavier Boix, Gemma Roig, Horesh Ben Shitrit, Pasca...
PAMI
2006
187views more  PAMI 2006»
13 years 4 months ago
An Experimental Study on Pedestrian Classification
Detecting people in images is key for several important application domains in computer vision. This paper presents an in-depth experimental study on pedestrian classification; mul...
Stefan Munder, Dariu M. Gavrila
CVPR
2010
IEEE
13 years 4 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