计算机科学 ›› 2018, Vol. 45 ›› Issue (2): 306-311.doi: 10.11896/j.issn.1002-137X.2018.02.053
龚安,费凡,郑君
GONG An, FEI Fan and ZHENG Jun
摘要: 为了解决多人行为识别中人物角色多且难以区分、图片增加的特征维数难以表达和学习以及行为背景复杂且容易产生干扰等问题,提出了一种基于卷积神经网络的多人行为识别方法。考虑到多人行为识别的复杂性,选择较为容易的两人交互行为作为研究对象,对实验中需要的图像数据库进行了初步的收集与预处理;然后选用在特征提取中不受拍摄角度、光照强度影响的Dense-sift算法来对原始图像进行初步的特征提取。由于人体行为图片相对手写数字图片更为复杂,因此为了使该网络能够很好地 识别 人体行为,针对该网络在其输入、网络层数、滤波器核数、学习率、输出等方面进行了修改。实验结果表明,提出的方法对拳击、拥抱、接吻3类交互行为的识别是有效的。
[1] DU Y,CHEN F,XU W,et al.Activity recognition throughmulti-scale motion detail analysis[J].Neurocomputing,2008,71(16-18):3561-3574. [2] HAN L,LI J F,JIA Y D.Human Interaction Recognition Using Spatio-Temproal Words[J].Chinese Journal of Computers,2010,33(4):776-784.(in Chinese) 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):776-784. [3] PENG D,HUIJUN D,LIGEN D,et al.Group interaction analy-sis in dynamic context[J].IEEE Transactions on Systems Man &Cybernetics Part B Cybernetics A Publication of the IEEE Systems Man & Cybernetics Society,2009,39(1):275-282. [4] RYOO M S,AGGARWAL J K.Recognition of High-level GroupActivities Based on Activities of Individual Members[C]∥IEEE Workshop on Motion and Video Computing.IEEE Computer Society,2008:1-8. [5] JI S,YANG M,YU K.3D convolutional neural networks for human action recognition[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2013,35(1):221-231. [6] KARPATHY A,TODERICI G,SHETTY S,et al.Large-Scale Video Classification with Convolutional Neural Networks[C]∥IEEE Conference on Computer Vision and Pattern Recognition.IEEE Computer Society,2014:1725-1732. [7] DAS A,PAL U,FERRER B M A,et al.Sclera recognition using dense-SIFT[C]∥International Conference on Intelligent Systems Design and Applications.2013:74-79. [8] GAO C,ZHANG X,WANG Y L,et al.Automatic stitching approach of aerial image sequence based on SIFT features[J].Computer Applications,2007,21(11):2789-2792.(in Chinese) 高超,张鑫,王云丽,等.一种基于SIFI特征的航拍图像序列自动拼接方法[J].计算机应用,2007,21(11):2789-2792. [9] BROWN M,LOWE D G.Invariant Features from Interest Point Groups[C]∥British Machine Vision Conference.2002:656-665. [10] LOWE D G.Distinctive Image Features from Scale-InvariantKeypoints[J].International Journal of Computer Vision,2004,60(2):91-110. [11] ZHAO Z H,YANG S P,MA Z Q.License Plate Character Reco-gnition Based on Convolutional Neural Network LeNet-5 [J].Journal of System Simulation,2010,22(3):638-641.(in Chinese) 赵志宏,杨绍普,马增强.基于卷积神经网络LeNet-5的车牌字符识别研究[J].系统仿真学报,2010,22(3):638-641. |
No related articles found! |
|