NDLI: Pedestrian Detection with Stereo Vision

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Pedestrian Detection with Stereo Vision

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Pedestrian Detection with Stereo Vision

Content Provider	IEEE Xplore Digital Library
Author	Soga, M. Kato, T. Ohta, M. Ninomiya, Y.
Copyright Year	2005
Description	Author affiliation: Toyota Central R&D Labs., Inc., Sensing System Lab. (Soga, M.)
Abstract	This paper presents a method of pedestrian detection for automobile applications, based on stereo vision. Vision based pedestrian detection presents a difficulty due to the diversity of appearances. The proposed method overcomes the difficulty mainly through the following two contributions. Firstly, employing four directional features with the classifier increases the robustness against small affine deformation of objects. Secondly, by merging classification and tracking, robustness against temporal change of appearance is improved when considering temporal continuity of classification score. The experiments, performed on approximately 16 minutes of video sequences, confirmed that the method can detect pedestrians with low false detection.
Starting Page	1200
Ending Page	1200
File Size	260776
Page Count	1
File Format	PDF
ISBN	0769526578
DOI	10.1109/ICDE.2005.258
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Infrared detectors Road accidents Shape Merging Video sequences Cameras Robustness Stereo vision Automobiles Research and development
Content Type	Text
Resource Type	Article

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