[1]黄菲菲[],曹江涛[],姬晓飞[]. 基于多通道信息融合的双人交互动作识别算法[J].计算机技术与发展,2016,26(03):58-62.
　HUANG Fei-fei[],CAO Jiang-tao[],JI Xiao-fei[]. Two-human Interaction Recognition Algorithm Based on Multi-channels Information Fusion[J].,2016,26(03):58-62.
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 基于多通道信息融合的双人交互动作识别算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年03期
页码:
58-62
栏目:
智能、算法、系统工程
出版日期:
2016-03-10

文章信息/Info

Title:
 Two-human Interaction Recognition Algorithm Based on Multi-channels Information Fusion
文章编号:
1673-629X（2016)03-0058-05
作者:
 黄菲菲[1]; 曹江涛[1]; 姬晓飞[2]
 1.辽宁石油化工大学 信息与控制工程学院；2.沈阳航空航天大学 自动化学院
Author(s):
 HUANG Fei-fei[1]; CAO Jiang-tao[1]; JI Xiao-fei[2]
关键词:
 ; HOG特征; HSI颜色空间; 等比例融合; 行为识别
Keywords:
 ; HOG features; HSI color space model; equal ratio fusion; interaction recognition
分类号:
TP301.6
文献标志码:
A
摘要:
 基于视频的双人交互行为识别是计算机视觉领域中一个富有挑战性的研究课题。针对基于整体的双人交互动作识别方法的特征表示复杂度高及匹配方法难以确定的问题，文中提出了一种基于多通道信息融合的双人交互动作识别算法。该方法首先采用更符合人类视觉系统的HSI颜色空间模型，分别通过H、S、I三个通道来提取HOG特征并进行直方图统计表示，使用最近邻分类器分别获得三通道下的识别结果，然后对识别结果进行等比例融合得到待测视频的最终识别结果。该方法在UT-interaction上进行了测试，得到了81.7%的识别率，证明了该方法的有效性及可行性。将其与相同数据库下的其他方法进行比较，结果表明该方法特征易于提取，计算效率高，避免了复杂的运算，具有一定的应用价值。
Abstract:
 Two-human interaction recognition based on video is a challenging research topic in computer vision. Aiming at the problem of high complexity for feature representation and matching method hard to determine for the two-human interaction recognition method,a two-human interaction recognition algorithm based on multi-channels information fusion is proposed in this paper. Firstly,HSI color space model which is more fit for the human visual system is used. Respectively by H,S,I three channels to extract the HOG feature for histogram statistics representation,the nearest neighbor classifier is used to require the identification results respectively under the three-channel,then the results is integrated with equal ratio to obtain the overall recognition rate. The proposed method is tested on UT-interac-tion which has achieved recognition ratio of 81. 7%,proving the validity and feasibility of this method. Compared with other methods,the proposed method has higher calculation efficiency and recognition accuracy with increasing number of potential applications.

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更新日期/Last Update: 2016-06-08