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Pedestrian Counting in Video Sequences based on Optical Flow Clustering
Sizuka Fujisawa, Go Hasegawa, Yoshiaki Taniguchi, Hirotaka Nakano
Pages - 1 - 16     |    Revised - 15-01-2013     |    Published - 28-02-2013
Volume - 7   Issue - 1    |    Publication Date - February 2013  Table of Contents
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KEYWORDS
Pedestrian Counting, Video Processing, Optical Flow, Clustering.
ABSTRACT
The demand for automatic counting of pedestrians at event sites, buildings, or streets has been increased. Existing systems for counting pedestrians in video sequences have a problem that counting accuracy degrades when many pedestrians coexist and occlusion occurs frequently. In this paper, we introduce a method of clustering optical flows extracted from pedestrians in video frames to improve the counting accuracy. The proposed method counts the number of pedestrians by using pre-learned statistics, based on the strong correlation between the number of optical flow clusters and the actual number of pedestrians. We evaluate the accuracy of the proposed method using several video sequences, focusing in particular on the effect of parameters for optical flow clustering. We find that the proposed method improves the counting accuracy by up to 25% as compared with a non-clustering method. We also report that using a clustering threshold of angles less than 1 degree is effective for enhancing counting accuracy. Furthermore, we compare the performance of two algorithms that use feature points and lattice points when optical flows are detected. We confirm that the counting accuracy using feature points is higher than that using lattice points especially when the number of occluded pedestrians increases.
CITED BY (10)  
1 Taniguchi, Y., Mizushima, M., Hasegawa, G., Nakano, H., & Matsuoka, M. (2016). Counting Pedestrians Passing Through a Line in Crowded Scenes by Extracting Optical Flows. International Information Institute (Tokyo). Information, 19(1), 303.
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Miss Sizuka Fujisawa
Graduate School of Information Science and Technology Osaka University Suita, Osaka, 565-0871 - Japan
Associate Professor Go Hasegawa
Cybermedia Center Osaka University Toyonaka, Osaka, 560-0043 - Japan
hasegawa@cmc.osaka-u.ac.jp
Dr. Yoshiaki Taniguchi
Cybermedia Center Osaka University Toyonaka, Osaka, 560-0043 - Japan
Professor Hirotaka Nakano
Cybermedia Center Osaka University Toyonaka, Osaka, 560-0043 - Japan