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IBPRIA
2009
Springer
14 years 7 days ago
Local Boosted Features for Pedestrian Detection
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
ICPR
2004
IEEE
14 years 8 months ago
A Trainable Low-level Feature Detector
We introduce a trainable system that simultaneously filters and classifies low-level features into types specified by the user. The system operates over full colour images, and ou...
John P. Collomosse, Martin Owen, Peter M. Hall
IJCAI
2003
13 years 9 months ago
Employing Trainable String Similarity Metrics for Information Integration
The problem of identifying approximately duplicate objects in databases is an essential step for the information integration process. Most existing approaches have relied on gener...
Mikhail Bilenko, Raymond J. Mooney
PAMI
2012
11 years 10 months ago
Pedestrian Detection: An Evaluation of the State of the Art
—Pedestrian detection is a key problem in computer vision, with several applications that have the potential to positively impact quality of life. In recent years, the number of ...
Piotr Dollár, Christian Wojek, Bernt Schiel...
CVIU
2007
112views more  CVIU 2007»
13 years 7 months ago
Pedestrian detection and tracking in infrared imagery using shape and appearance
In this paper, we present an approach toward pedestrian detection and tracking from infrared imagery using joint shape and appearance cues. A layered representation is first intr...
Congxia Dai, Yunfei Zheng, Xin Li