NDLI: Small group people behavior analysis based on temporal recursive trajectory identification

Content Provider	IEEE Xplore Digital Library
Author	Cong Shen Rong Xie Liang Zhang Li Song
Copyright Year	2015
Description	Author affiliation: Inst. of Image Commun. & Network Eng., Shanghai Jiao Tong Univ., Shanghai, China (Cong Shen; Rong Xie; Liang Zhang; Li Song)
Abstract	Small group people behavior analysis has attracted much attention in recent years. How to detect, track and analyze the group behavior of related people is a challenging problem. In this paper, a framework for small group people behavior analysis is proposed in video surveillance applications, which is based on temporal recursive trajectory identification. According to real applications, a specific surveillance scene is divided into several zones and correspondent zone connectivity relations are obtained. After that, people counting methods are used to get numbers of people in each zone. Together with zone connectivity relation, a temporal recursive method is applied to identify trajectory that represents the movement of each person between zones. From these determined motion trajectories, groups of people are detected and distributed and their behaviors are analyzed. Experiments on Shanghai World Expo 2010 video surveillance database are conducted to show the effectiveness of the proposed framework.
Starting Page	1
Ending Page	6
File Size	1205610
Page Count	6
File Format	PDF
ISBN	9781479970797
DOI	10.1109/ICMEW.2015.7169864
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-29
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Symmetric matrices Video processing Image edge detection Group behavior analysis Video surveillance Trajectory Audience trajectory identification Indexes
Content Type	Text
Resource Type	Article

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