基于3D结构光传感器的老龄人异常行为检测方法
罗坚, 唐琎, 赵鹏, 毛芳, 汪鹏. 基于3D结构光传感器的老龄人异常行为检测方法[J]. 光学技术, 2016, 42(2): 146.
LUO Jian, TANG Jin, ZHAO Peng, MAO Fang, WANG Peng. AAbnormal behavior detection for elderly based on 3D structure light sensor[J]. Optical Technique, 2016, 42(2): 146.
[1] ADAM A, et al．Robust real-time unusual event detection using multiple fixed-location monitors［J］. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008, 30(3):555-560.
[2] XIANG Tao, et al. Incremental and adaptive abnormal behaviour detection［J］. Computer Vision and Image Understanding, 2008,111(1):59-73.
[3] MA Xuyan, et al. Abnormal behavior detection based on global motion orientation［J］. Advanced Materials Research, 2013, 765: 2264-2267.
[4] LI X, et al. A position-based approach of extracting elderly daily behavior habits for service robot［C］∥Proceedings of the 3rd IEEE Conference on Industrial Electronics and Applications. USA:IEEE, 2008: 102-106．
[5] BASHIR F I, et al．Object trajectory based activity classification and recognition using Hidden Markov models［J］．IEEE Transactions on Image Processing, 2007, 16(7): 1912-1919.
[6] 崔永艳,等. 基于多示例学习的异常行为检测方法［J］.模式识别与人工智能, 2011,24(6):862-868. CUI Yongyan, et al. Abnormal event detection based on the multi-instance learning［J］. PR and AI,2011,24(6):862-868.
[7] LI Ce, et al. Visual abnormal behavior detection based on trajectory sparse reconstruction analysis［J］.Neurocomputing, 2013, 119: 94-100.
[8] LEE S C, et al. Hierarchical abnormal event detection by real time and semi-real time multi-tasking video surveillance system ［J］. Machine Vision and Applications, 2014, 25(1): 133-143.
[9] BOBICK A F, et al.The recognition of human move merit using temporal templates［J］.IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(3):257-267．
[10] 李海涛,等. 基于位置-动作特征的助老机器人服务对象异常行为检测［J］.计算机工程与科学,2010,32(6):122-128.LI Haitao,et al. The old people's unusual behavior detection by service robots based on the position-action features［J］. Computer Engineering & Science,2010,32(6):122-128.
[11] 吴艳平,等. 基于运动图像序列的异常行为检测［J］.计算机应用研究,2010,27(7):2741-2744.WU Yanping,et al. Abnomaly detection based on motion image sequence［J］. Application Research of Computers ,2010,27(7):2741-2744.
[12] ZHANG Dongping, et al. Crowd abnormal behavior detection based on machine learning［J］. Information Technology Journal. 2013, 12(6):1199-1205.
[13] SMISEK J, et al.3D with Kinect［C］// Proceedings of the 2011 IEEE International Conference on Computer Vision Workshops. Barcelona, Spain:IEEE,2011:1154-1160.
[14] 朱煜,等. 一种改进的点云数据精简方法［J］. 计算机应用,2012,32(2):521-523.ZHU Yu,et al. Improved algorithm for point cloud data simplification［J］. Journal of Computer Application,2012,32(2):521-523.
[15] HAN J, et al. Individual recognition using gait energy image［J］. IEEE Transactions on Pattern Analysis Machine Intelligence, 2006,28(2):316-322.
[16] INAN T, et al. 3D face recognition with local shape descriptors［J］. IEEE Transactions on Information Forensics and Security,2012, 7(2):577-587.
[17] MASHHOORI A, et al. Block-wise two-directional 2DPCA with ensemble learning for face recognition［J］. Neurocomputing, 2013,108:111-17.
[18] VASILESCU M A O, et al. Multilinear (tensor) image synthesis ,analysis, and recognition［J］. IEEE Signal Processing Magazine,2007,24:118-123.
罗坚, 唐琎, 赵鹏, 毛芳, 汪鹏. 基于3D结构光传感器的老龄人异常行为检测方法[J]. 光学技术, 2016, 42(2): 146. LUO Jian, TANG Jin, ZHAO Peng, MAO Fang, WANG Peng. AAbnormal behavior detection for elderly based on 3D structure light sensor[J]. Optical Technique, 2016, 42(2): 146.
PDF全文
