NDLI: Motion and haar-like features based vehicle detection

Content Provider	IEEE Xplore Digital Library
Author	Hongliang Bai Jianping Wu Changpin Liu
Copyright Year	2006
Description	Author affiliation: Inst. of Autom., Chinese Acad. of Sci. (Hongliang Bai)
Abstract	Lienhart et al. have added basic and rotated haar-like features in the face detection scheme based on a boosted cascade of simple feature classifiers. There are two key contributions in the paper. The first is introduction of motion features. With the haar-like and motion features, our sample vehicle detector shows off on average a 5% lower false alarm rate at a given hit rate. Considering the speed performance, motion features are used to given the candidate regions and haar-like features are used to detect the vehicles at the above results. Secondly, the haar-like features are used for the highway except face. In the face detection, Haar-like feature shows detection rate comparable to the best previous system. But little work is done in the traffic domain. And empirical analysis of vehicle detection is provided in the experiment section
File Size	1774384
File Format	PDF
ISBN	1424400287
DOI	10.1109/MMMC.2006.1651348
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-01-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer vision Vehicle detection Face detection Vehicles Motion detection Pixel Image motion analysis Image edge detection Automation Integrated optics
Content Type	Text
Resource Type	Article

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