NDLI: A network-based algorithm for recognizing group activities with multiple people and crowded scenes

Content Provider	IEEE Xplore Digital Library
Author	Sheng Zhang Yuanzhe Chen Weiyao Lin Chunlian Yao Dong Jiang Chuanfei Luo
Copyright Year	2013
Description	Author affiliation: China Telecom Shanghai Res. Inst., Shanghai, China (Chuanfei Luo) \|\| Dept. of Electron. Eng., Shanghai Jiao Tong Univ., Shanghai, China (Sheng Zhang; Yuanzhe Chen; Weiyao Lin) \|\| Beijing Technol. & Bus. Univ., Beijing, China (Chunlian Yao; Dong Jiang)
Abstract	In this paper, a network-based algorithm is proposed for group activity recognition with multiple people/objects and crowded scenes. This algorithm models the entire scene as an error-free network. With this network, we model objects in the scene as packages while activities as package transmission in the network. By analyzing these “package transmission” processes, activities can be detected. Based on the proposed network-based algorithm, we also propose two implementations to deal with the scenarios of group activities with multiple people/objects and crowded scenes. Experimental results demonstrate the effectiveness of our proposed algorithm.
Sponsorship	IEEE Eng.Med. Biol. Soc.
Starting Page	69
Ending Page	74
File Size	492568
Page Count	6
File Format	PDF
e-ISBN	9781479927647
DOI	10.1109/CISP.2013.6744067
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image motion analysis Computer vision group activity recognition network transmission Optical imaging Feature extraction Trajectory Niobium Vehicles
Content Type	Text
Resource Type	Article

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