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| 1 | 视频序列中的行为识别研究进展显示文摘视频序列中的行为识别是计算机视觉领域非常活跃的研究方向,在视频监控、人机交互、医疗看护、视频检索等领域有着广阔的应用前景。综合分析了行为识别的研究进展,首先分析了目前主流的行为识别数据库的不同特点;然后总结了行为的特征表示方法以及识别方法的最新进展,由于实际应用要求算法具有快速、自动和实时性,且人工标定大量视频存在困难,无监督的学习方法受到越来越多的关注;在此基础上,讨论了行为识别面临的挑战,以及今后的研究发展方向。 | 徐勤军 吴镇扬 | 2014 | 电子测量与仪器学报2014，28，4： | 20 |
| 2 | Study of Human Action Recognition Based on Improved Spatio-temporal Features显示文摘Most of the exist action recognition methods mainly utilize spatio-temporal descriptors of single interest point while ignoring their potential integral information, such as spatial distribution information. By combining local spatio-temporal feature and global positional distribution information(PDI) of interest points, a novel motion descriptor is proposed in this paper. The proposed method detects interest points by using an improved interest point detection method. Then, 3-dimensional scale-invariant feature transform(3D SIFT) descriptors are extracted for every interest point. In order to obtain a compact description and efficient computation, the principal component analysis(PCA) method is utilized twice on the 3D SIFT descriptors of single frame and multiple frames. Simultaneously, the PDI of the interest points are computed and combined with the above features. The combined features are quantified and selected and finally tested by using the support vector machine(SVM) recognition algorithm on the public KTH dataset. The testing results have showed that the recognition rate has been significantly improved and the proposed features can more accurately describe human motion with high adaptability to scenarios. | Xiao-Fei Ji Qian-Qian Wu Zhao-Jie Ju Yang-Yang Wang | 2014 | International Journal of Automation and computing2014，11，5： | 4 |
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