智能系统学报Issue(1)：104-108,5.DOI:10.3969/j.issn.1673-4785.201305001
累积方向-数量级光流梯度直方图的人体动作识别
Human action recognition based on accumulated orientation-magnitude histograms of optical flow
摘要
Abstract
In order to improve the recognition rate and efficiency of optical flow in the human action recognition sys-tem, a novel method for human action representation based on the accumulated orientation-magnitude gradient his-tograms of the optical flow is proposed in this paper .First the image optical flow is computed , and then every flow vector is counted according to the orientation-magnitude to obtain orientation-magnitude histograms of single frame image.Finally information of the video sequence can be represented by accumulating orientation-magnitude histo-grams in time dimension .The proposed feature is evaluated on a standard database of human actions:KTH.The ex-periment conducted on the four scenes demonstrates that this algorithm is effective and achieves a correct recogni -tion rate of 87.5%with the KTH dataset .关键词
人体动作识别/Horn-Schunck光流/方向-数量级直方图/梯度直方图Key words
human action recognition/Horn-Schunck optical flow/orientation-magnitude histograms/gradient histograms分类
信息技术与安全科学引用本文复制引用
郭利,曹江涛,李平,姬晓飞..累积方向-数量级光流梯度直方图的人体动作识别[J].智能系统学报,2014,(1):104-108,5.基金项目
国家自然科学青年基金资助项目（61103123）． （）
