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研究生:簡伯儒
研究生(外文):Chien, Po-Ju
論文名稱:以視覺為基礎之移動人員行為分析
論文名稱(外文):Vision-based behavior analysis for moving humans
指導教授:曾逸鴻曾逸鴻引用關係
指導教授(外文):Tseng, Yi-Hong
學位類別:碩士
校院名稱:大葉大學
系所名稱:資訊管理學系碩士班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:43
中文關鍵詞:入侵偵測移動物件動作判定行為分析
外文關鍵詞:invade detectionmoving objectsmotion determinationbehavior analysis
相關次數:
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  • 點閱點閱:114
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  • 收藏至我的研究室書目清單書目收藏:2
由於科技的日新月異,「智慧型生活環境」已逐漸變成可預期的未來。而基於視覺技術的智慧型環境,可提供更直覺、更值得信任的監控機制。本篇研究即是以居家安全保護為目的,除對入侵人員進行偵測以及追蹤外,更著重在可疑人員之行為分析,期望在危害行為發生前,防範於未然。
本研究所開發的系統主要將擷取得出的人體邊界框,計算其長、寬大小與寬高比例等屬性,根據兩參數變化的量,以及速度的改變,來判斷人體所產生的動作。另外,分析座標的變化,來探察人體與保全物彼此的關聯,進而判定可疑人員的行為,決定是否發出警示。本研究可在居家安全的建構與維護上,運用平價的視訊擷取設備,發展智慧型的監控系統,將可疑人員的行為作系統化的分類、分析與異常狀況的判定。
"The wisdom living environment" gradually turned the future which may anticipate. And based on the visual technology wisdom environment, can provide more and more instinctive and confidential of the monitoring mechanism. The research is take the property safekeeping of security as a goal, besides to invades the personnel to carry on detects as well as traces, emphatically of behavioral analysis in the suspicious personnel, before expected occurs in the harm behavior, guards against to not however.
The research develops the system mainly will retrieve the bounding box of human body which will obtain, will calculate it's attribute with long、width size and beam-to-depth ratio. According to the parameters and the speed changes quantity to analyze the movement which the human body will produce. Moreover, the analysis grid reference change, searches observes the human body with to preserve thing each other the connection, then the determination suspicious personnel's behavior, decided whether sends out the message.
The research may construct in the construction and the maintenance in the property security, using the fair price of retrievable equipment, and to develop the wisdom supervisory system, which is the suspicious personnel's behavior systematized the classification, the analysis and the unusual condition determination.
中文摘要 .................... iii
英文摘要 .................... iv
誌謝辭  .................... v
內容目錄 .................... vi
表目錄  .................... viii
圖目錄  .................... ix
第一章  緒論 .................. 1
  第一節 研究背景與動機............ 1
  第二節  研究目的與方法............ 1
  第三節 系統流程............... 2
第四節 研究限制............... 3
第五節 論文架構............... 3
第二章  文獻探討 ................ 5
第一節  人體動作追蹤相關研究......... 5
  第二節  人體動作判定............. 8
  第三節 人體行為分析............. 9
第三章  人體動作判定 .............. 11
第一節  前景物體追蹤............. 11
  第二節  人體特性擷取............. 14
第四章  人體行為分析 .............. 24
  第一節  決定警戒區域............. 24
  第二節  標定保全物定位點........... 25
  第三節  保全物色彩特徵............ 27
  第四節  人體行為類型............. 28
第五章  實驗結果與分析 ............. 34
第六章  結論與未來展望 ............. 38
參考文獻  .................... 40
Aggarwal, J. K., Cai, Q., Liao, W., & Sabata, B. (1998). Non-Rigid motion analysis: articulated and elastic motion, Comput. Vision Image Understanding, 70(2), 142–156.
Brunsman, M. A., Daanen, H., & Robinette, K. M. (1997). Optimal postures and positioning for human body scanning. International Conference on Recent Advances in 3-D Digital Imaging and Modeling, 266–273.
Chang, T. H., Gong, S., & Ong, E. J. (2000). Tracking multiple people under occlusion using multiple cameras, British Machine Vision Conference, 566–575.
Collins, R. T. (2000). A system for video surveillance and monitoring: VSAM Anal report, Technical Report, Carnegie Mellon University.
Cutler, R., & Davis, L. S. (2000). Robust real-time periodic motion detection, analysis, and applications, IEEE Trans. Pattern Anal. Mach. Intell, 22(8), 781–796.
Haritaoglu, I., Harwood, D., & Davis, L. S. (2000). real-time surveillance of people and their activities, IEEE Trans. Pattern Anal. Mach. Intell, 22(8), 809–830.
Hsu, R. L., Mohamed, A. M., & Jain, A. K. (2002). Face Detection in Color Images, IEEE Trans. Pattern Analysis and Machine Intelligence, 24(5), 696-706.
Hu, C. (2000). Extraction of parametric human model for posture recognition using generic algorithm, Proceedings of the Fourth International Conference on Automatic Face and Gesture Recognition, France.
Iwasaw, S. (1997). Real-time estimation of human body posture from monocular thermal images, Proceedings of the IEEE CS, Conference on Computer Vision and Pattern Recognition.
Jang, D. S., & Choi, H. I. (2000). Active models for tracking moving objects, Pattern Recognition, 33(7), 1135–1146.
Karaulova, I. A., Hall, P. M., & Marshall, A. D. (2000). A hierarchical model of dynamics for tracking people with a single video camera, British Machine Vision Conference, 352-361.
Lipton, A. J., Fujiyoshi, H., & Patil, R.S. (1998). Moving target classiAcation and tracking from real-time video, Proceedings of the IEEE Workshop on Applications of Computer Vision, 8-14.
Liu, Z. F., You, Z. S., Jain, A. K., & Wang, Y. Q. (2003). Face detection and facial feature extraction in color image, Fifth International Conference on omputational Intelligence and Multimedia Applications, 126-130.
Luck, J. P., Small, D. E., & Little, C. Q. (2001). Real-time tracking of articulated human models using a 3D shape-from-silhouette method, Proceedings of the Robot Vision Conference, Auckland, New Zealand
Matthew B., Nuria O., & Alex P. (1997). Coupled hidden markov models for complex action recognition, Computer Vision and Pattern Recognition.
Moeslund, T. B., & Granum, E. (2001). A survey of computer vision-based human motion capture, Computer Vision and Image Understanding , 81(3), 231-268.
Mohan, A., Papageorgiou, C., & Poggio, T. (2001). Example-based object detection in images by components, IEEE Trans. Pattern Recognition Mach. Intell. 23(4), 349-361.
Robinette, K. M., Daanen, H., & Paquet, E. (1999). The Caesar Project: A 3-D Surface Anthropometry Survey, Proceedings of the Second International Conference on Recent Advances in 3-D Digital Imaging Modeling. Ottawa, Ontario, Canada. October 4-8, 380-386.
Sidenbladh, H., & Black, M. J. (2003). Learning the statistics of people in images and video, International Journal of Computer Vision. 54(1), 183-209.
Wang, L., Hu, W., & Tan, T. (2003). Recent developments in human motion analysis, Pattern Recognition, 36(3), 585-601.
Wren, C. R., & Clarkson, B. P. (2000). A Pentland, Understanding purposeful human motion, Proceedings of the International Conference on Automatic Face and Gesture Recognition, France.
Zhang, R., Vogler, C., & Metaxas, D. (2004). Human Gait Recognition, IEEE Computer Society Conference, Computer Vision and Pattern Recognition, 18-19.
Zhong, Y., Jain, A .K., & Dubuisson M. P. (2001). Object tracking using deformable templates, IEEE Trans. Pattern Anal. Mach. Intell. 22(5), 544-549.
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