A Network-based Algorithm for Recognizing Group Activities with Multiple People and Crowded Scenes

被引：0

作者：

Zhang, Sheng ^{[1
]}

Chen, Yuanzhe ^{[1
]}

Lin, Weiyao ^{[1
]}

Jiang, Dong ^{[2
]}

Yao, Chunlian ^{[2
,3
]}

Luo, Chuanfei ^{[4
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Shanghai 200030, Peoples R China

[2] Beijing Technol & Business Univ, Beijing, Peoples R China

[3] Beijing Jiao Tong Univ, Key Lab Adv Informat Sci & Network Technol Beijin, Beijing, Peoples R China

[4] China Telecom Shanghai Res Inst, Shanghai, Peoples R China

来源：

2013 6TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), VOLS 1-3 | 2013年

基金：

美国国家科学基金会;

关键词：

group acitvity recognition; network transmission;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：69 / 74

页数：6

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