[1]谭程午,夏利民,王 嘉.基于融合特征的群体行为识别[J].计算机技术与发展,2018,28(01):17-22.[doi:10.3969/ j. issn.1673-629X.2018.01.004]
　TAN Cheng-wu,XIA Li-min,WANG Jia.Recognition of Human Group Action Based on Fusion Features[J].Computer Technology and Development,2018,28(01):17-22.[doi:10.3969/ j. issn.1673-629X.2018.01.004]
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基于融合特征的群体行为识别()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
28
期数:
2018年01期
页码:
17-22
栏目:
智能、算法、系统工程
出版日期:
2018-01-10

文章信息/Info

Title:
Recognition of Human Group Action Based on Fusion Features
文章编号:
1673-629X(2018)01-0017-06
作者:
 谭程午1 ; 夏利民1 ; 王 嘉2
1. 中南大学 信息科学与工程学院,湖南 长沙 410075;
2. 国防科技大学 训练部,湖南 长沙 410073
Author(s):
TAN Cheng-wu 1 ; XIA Li-min 1 ; WANG Jia 2
1. School of Information Science and Engineering,Central South University,Changsha 410075,China;
2. Department of Training,National University of Defense Technology,Changsha 410073,China
关键词:
群体行为识别; 特征融合; Granger 因果; 支持向量机
Keywords:
group action recognition; feature fusion; Granger causality; SVM
分类号:
TP301.6
DOI:
10.3969/ j. issn.1673-629X.2018.01.004
文献标志码:
A
摘要:
围绕群体行为的特征提取问题展开研究,提出了一种基于融合运动特征和外观特征的群体行为识别方法。 为了更有效地描述识别信息,首先将各行人目标看成网络的节点,利用协方差跟踪获得目标的运动轨迹,同时利用格兰杰因果关系检
验来衡量行人之间的相互作用;然后利用此因果关系来构建成双因果网络和成群因果网络,将其作为运动特征,并结合外观特征来描述群体行为。 最后,采用改进萤火虫算法的支持向量机(SVM)进行群体行为识别。 实验结果表明,提出的算法能够对群体行为进行有效的表达和识别。
Abstract:
Based on the study of feature extraction of group behavior,we propose a group action recognition method based on fusion movement characteristics and appearance characteristics. In order to effectively describe the identification information,the trajectories of each pedestrians are calculated by covariance tracking to gain the nodes of crowd network. The Granger causality test is used to estimate the relationship between pedestrians. Based on these causations,two types of complex network are generated which are pair-complex network and group-complex network,and the appearance information is also included in the description of group actions. Finally,we adopt the support vector machine (SVM) based on the improved glowworm swarm optimization (GSO) to recognize human group action. Experiment shows that the proposed method can express and recognize group action effectively.

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更新日期/Last Update: 2018-03-09