NDLI: A pedestrian detection method based on Dirichlet distribution and histogram of components

Content Provider	IEEE Xplore Digital Library
Author	Xu Li Xiaoru Wang Jia Long Lingpu Gong
Copyright Year	2012
Description	Author affiliation: Beijing Key Lab. of Intell. Telecommun. Software & Multimedia, Beijing Univ. of Posts & Telecommun., Beijing, China (Xu Li; Xiaoru Wang; Jia Long; Lingpu Gong)
Abstract	Pedestrian detection is a hot topic in computer vision recently. It is a challenging issue to detect the pedestrian in images accurately and quickly. In this paper, we propose a quick and accurate pedestrian detection method based on Dirichlet distribution and histogram of components. This method can find out the pedestrian in images accurately. Because of the introduction of Dirichlet distribution and histogram of components, our method reduces the time cost on detecting pedestrian. The experiment also showed that it can detect the pedestrian sheltered from other object or in the complicated background.
Starting Page	956
Ending Page	960
File Size	259422
Page Count	5
File Format	PDF
e-ISBN	9781467318570
DOI	10.1109/CCIS.2012.6664318
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Head Dictionaries Sift Bag-of-words Pedestrian detection Dirichlet distribution Training Support vector machines Histograms Detectors Feature extraction Component SVM classifier
Content Type	Text
Resource Type	Article

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A pedestrian detection method based on Dirichlet distribution and histogram of components