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» Pedestrian detection by modeling local convex shape features
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ICPR
2008
IEEE
13 years 11 months ago
Pedestrian detection by modeling local convex shape features
This paper presents a pedestrian model built collectively on a group of strong local convex shape descriptors. The pedestrian model captures the most important features of a pedes...
Jungme Park, Yun Luo, Haoxing Wang, Yi Lu Murphey
CVPR
2007
IEEE
13 years 11 months ago
Pedestrian Detection in Infrared Images based on Local Shape Features
Use of IR images is advantageous for many surveillance applications where the systems must operate around the clock and external illumination is not always available. We investiga...
Li Zhang, Bo Wu, Ram Nevatia
CVPR
2007
IEEE
14 years 6 months ago
Simultaneous Detection and Segmentation of Pedestrians using Top-down and Bottom-up Processing
We present a method for the simultaneous detection and segmentation of people from static images. The proposed technique requires no manual segmentation during training, and explo...
Vinay Sharma, James W. Davis
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
CVPR
2004
IEEE
13 years 8 months ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid