研究生: |
林佑融 You-Rong Lin |
---|---|
論文名稱: |
運用陰影與支援向量機器的跌倒偵測之研究 A Robust Fall Detection Scheme Using Human Shadow and SVM Classifiers |
指導教授: |
陳郁堂
Yie-Tarng Chen |
口試委員: |
林銘波
Ming-Bo Lin 鍾國亮 Kuo-liang chung 方文賢 W.-H. Fang |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電子工程系 Department of Electronic and Computer Engineering |
論文出版年: | 2012 |
畢業學年度: | 100 |
語文別: | 中文 |
論文頁數: | 44 |
中文關鍵詞: | 影像處理 、數位家庭 、影子偵測 、行為分析 |
外文關鍵詞: | image processing, smart home, shadow detection |
相關次數: | 點閱:212 下載:5 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本論文提出一個在視覺上新穎的即時偵測跌倒系統,我們這個系統能夠支援於各種攝影機視角的擺設,突破單一環境的限制。該系統的演算法藉由人體形狀與自然線索兩大特徵去區分跌倒與非跌倒的事件,並且有很高的準確率。對於人體形狀的分析上,我們提出一個利用影子來估測人體高度的方法,同時也結合HOG特徵以及行為能力特徵來加強整個系統的偵測能力。最後利用支援向量機(SVM)來做特徵的訓練以及串接式的分類來辨別跌倒行為。系統執行的結果是有效的應用在鳥瞰視角與一般視角,而我們的實驗結果也證明該系統可達到很高的偵測率及很低的計算量。
We present a novel real-time video-based human fall detection system in this thesis. Because the system is based on a combination of shadow-based features and various human postures, it can distinguish between fall-down and fall-like incidents with a high degree of accuracy. To support effective operation in different viewpoints, we propose a new feature called virtual height that can estimate the body height without 3D model reconstruction. As a result, the model is low computational complexity. Our experiment results demonstrate that the proposed system can achieve a high detection rate and a low false alarm rate.
[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.