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[1] J. Tiao, M. Turjo, M. Wong, M. Wang and Y. Tan, “Fall Incidents Detection for Intelligent Video Surveillance,” In Proc. of the 15th International Conference On Communications and Signal Processing, pp.1590 – 1594, 2005 [2] V. Vishwakarma, C. Mandal, and S. Sural, ”Automatic Detection of Human Fall in Video, "In Proc. of International Conference on Pattern Recognition and Machine Intelligent , Lecture Notes in Computer Science, pp.612 – 613, 2007 [3] T. Zhang, J. Wang , and L. Xu , ”Using Wearable Sensor and NMF Algorithm to Realize Ambulatory Fall Detection," In Proc. of International Conference on Advances in Natural Computation, Lecture Notes in Computer Science, Vol. 4222 , pp.488 – 491, 2006 [4] B. T oreyin, Y. Dedeoglu, and A. C, etin, “HMM-based Falling Person Detection Using Both Audio and Video," In Proc. of IEEE International workshop on human-computer interaction 2005. [5] J. W. Hsieh, Y. T. Hsu, H. Y. Liao and C. C. Chen, Chih-Chiang Chen, ”Video-based Human Movement Analysis and Its Application to Surveillance Systems," IEEE Transactions on Multimedia, Vol.10, No. 3, pp. 372 – 392, 2008 [6] 江龍興,”運用輪廓分析對人行為模式辨識之研究” 國立台灣科技 大學電子工程研究所,碩士論文,2010。 [7] D. Anderson, R. H. Luke, J.M. Keller,M. Skubic, M. Rantz, and M. Aud, “Linguistic summarization of video for fall detection using voxel person and fuzzy logic,” Comput. Vision Image Understanding, vol. 113, pp. 80 – 89, 2008. [8] C. Meunier, J. St-Arnaud, A. Rousseau, J. Rougier, ”Fall Detection from Human Shape and Motion History Using Video Surveillance," In Proc. of the 21st International Conference on Advanced Information Networking and Applications Workshops, pp. 875 – 880, 2007. [9] T. Horprasert, D. Harwood, and L. Davis, “A Statistical Approach for Real-Time Robust Background Subtraction and Shadow Detection.” In Proc. of IEEE International Conference on Computer Vision, Frame-Rate Workshop, pp 1 – 19, 1999. 43 [10] A. Prati, I. Mikic, M. Trivedi, and R. Cucchiara, “Detecting moving shadows: algorithms and evaluation," IEEE Transactions on Pattern Analysis and Maching Intelligence 25, pp. 918 – 923, July 2003. [11] N. Dalal and B. Triggs, “Histograms of oriented gradients for human detection”, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Vol. 1, pp. 886 – 893, 2005. [12] A. F. Bobick and J. W. Davis, ”The Recognition of Human Movement Using Temporal Template," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, No. 3, pp. 257 – 267, 2001. [13] G. Bradski and A. Kaehler, Learning OpenCV: Computer Vision with OpenCV Library, O’Reilly Media, Inc., Sebastopol, CA, USA. 2008. [14] An available dataset http://www.tnt.uni-hannover.de/~shoaib/fall.html [15] EZTH dataset http://www.vision.ee.ethz.ch/~fnater/unsupHBA/index.html [16] Pratt Willam, Digital Image Processing, 4th ed., John Wiley and Sons, Ltd., New York, USA, 2007.
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