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基于时空兴趣点的单人行为及交互行为识别 被引量：9

Single and interactive human behavior recognition algorithm based on spatio-temporal interest point
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摘要 本文方法首先从视频中提取出代表足够运动信息的时空兴趣点,并通过人体前景剪影连通性分析判别时空兴趣点的点集范围。然后对每个视频的兴趣点样本进行高斯混合聚类生成时空单词。最后对时空单词进行训练得到每个行为的高斯混合模型用于人体行为的识别。该方法既可用于单人行为识别也可用于双人行为识别。在行为库上的实验结果证明了该方法有较高的正确率。 ; First, spatio-temporal interest points containing enough human motion information are detected, and a set of spatio-temporal interest points are selected based on the information of connectivity of human silhouettes. Then, the GMM clustering is performed on the points in the training set and the spatial-temporal words are generated. Finally, these spatial-temporal words are trained to obtain the GMM of each behavior for human behavior recognition. This algorithm can be applied both to single behavior recognition and to interactive behavior recognition. Experiment results on activity database show that this approach has a satisfactory identification rate of human activities.
作者 王世刚 孙爱朦 赵文婷 惠祥龙
机构地区 吉林大学通信工程学院
出处 《吉林大学学报（工学版）》 EI CAS CSCD 北大核心 2015年第1期304-308,共5页 Journal of Jilin University:Engineering and Technology Edition
基金 国家自然科学基金广东联合基金重点项目(U0935001) '863'国家高技术研究发展计划项目(2012AA011505) 教育部博士学科点专项科研基金项目(20120061110091)
关键词 通信技术 人体行为识别 时空特征点 混合高斯模型 communication human action recognition spatio-temporal interest point Gaussian mixture model
分类号 TN911 [电子电信—通信与信息系统]
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参考文献9

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二级参考文献39

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共引文献33

同被引文献57

  • 1代科学,李国辉,涂丹,袁见.监控视频运动目标检测减背景技术的研究现状和展望[J].中国图象图形学报,2006,11(7):919-927. 被引量：169
  • 2李刚,邱尚斌,林凌,曾锐利.基于背景差法和帧间差法的运动目标检测方法[J].仪器仪表学报,2006,27(8):961-964. 被引量：111
  • 3韩磊,李君峰,贾云得.基于时空单词的两人交互行为识别方法[J].计算机学报,2010,33(4):1-11.
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  • 7DOLLAR P, RABAUD V, COTYRELL G, et al. Behavior recogni- tion via sparse spatio-temporal features[C]// Proceedings of the 2005 IEEE International Workshop on Visual Surveillance and Per- formance Evaluation of Tracking and Surveillance. Piscataway, NJ: IEEE, 2005:65 -72.
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  • 10LI N, CHENG X, GUO H, et al. A hybrid method for human inter- action recognition using spatio-temporal interest points [ C]// ICPR 2014: Proceedings of the 22nd International Conference on Pattern Recognition. Piscataway, NJ: IEEE, 2014:2513-2518.

引证文献9

二级引证文献47

吉林大学学报（工学版）
2015年 第1期

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