Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/7933
標題: 立體視覺於視訊人體偵測之應用
Human detection in video sequences using stereo vision
作者: 黃祿倭
Huang, Lu-Wei
關鍵字: Stereo Vision;立體視覺;Calibration;Video Sequence;Human Detection;校正;視訊影像;人體偵測
出版社: 電機工程學系所
引用: [1] D. Schulz, W. Burgard, D. Fox, and A. Cremes, “Tracking multiple moving objects with a mobile robot,” Proc. IEEE CVPR, vol.1, pp.371-377, 2001. [2] D. A. Forsyth, and J. Ponce, Computer vision: a modern approach, Prentice Hall, 2002. [3] R. Collins, C. J. Taylor, and J. Graham, “Special issue on video surveillance and monitoring,” IEEE Trans. Pattern Anal. and Machine Intell., vol. 22, pp. 745-746, 2000. [4] D. M. Gvarila, “The visual analysis of human movement: a survey,” Computer Vision and Image Understanding, vol. 73, pp. 82-98, Jan. 1999. [5] V. Pavlovic, R. Sharma, and T. S. Huang, “Visual interpretation of hand gestures for human computer interaction: a review,” IEEE Trans. Pattern Anal. and Machine Intell., vol. 19, no. 7, pp. 677-695, Jul. 1997. [6] Y. Wu, and T. Yu, “A filed model for human detection and tracking,” IEEE Trans. Pattern Anal. and Machine Intell., vol. 28, no. 5, pp. 753-765, May 2006. [7] S. Ioffe, and D. A. Forsyth, “Probabilistic methods for finding people,” IJCV, 43(1), pp. 45-68, 2001. [8] A. Mohan, C. Papageorgiou and T. Poggio, “Example-based object detection in Images by components,” IEEE Trans. PAMI, 23(4), pp. 349-361, 2001. [9] Christophe Simon, Frederique Bicking and Thierry Simon, ”Estimation of depth on thick edges from sharp and blurred images,” IEEE Instrumentation and Measurement Technology Conference, vol. 1, pp. 323-328. [10] Cassandra Swain, Alan Peters and Kazuhiko Kawamura, ”Depth estimation from image defocus using fuzzy logic,” Proceedings of the 3rd IEEE International Conference on Fuzzy System, vol. 1, P9, 94-99, 1994. [11] F. Deschen, D. Ziou, P. Fuchs, ”Homotopy-based estimation of depth cues in spatial domain,” IEEE International Conference on Pattern Recognition, vol. 3, pp. 627-630, 2002. [12] F. Deschen, D. Ziou, ”Homotopy-based computation of defocus blur and affine transform,” in Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'03), vol. 1, pp. I-398-404, 2003. [13] L. Li, Y. T. Koh, S. S. Ge, and W. Huang, “Stereo-based human detection for mobile service robots,” Proc. IEEE Conferecne on Control, Automation, Robotics, and Computer Vision, pp. 74-79, Dec. 2004. [14] L. Li, S. S. Ge, T. Sim, Y. T. Koh, and X. Hunag, “Object-oriented scale-adaptive filtering for human detection from stereo images,” Proc. IEEE Conference on Cybernetics and Intelligent Systems, pp. 135-140, Dec. 2004. [15] D.C. Brown, “Decentering Distortion of Lenses,” Photogrammetric Eng., vol. 32, No. 3, pp. 444-462, May 1966. [16] Roger Y. Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and Lenses,” IEEE Journal of Robotics and Automation, vol. ra-3, No.4, Aug. 1987. [17] Z. Zhang, “Flexible camera calibration by viewing a plane from unknown orientations,” Proceedings of the IEEE International Conference on Computer Vision, vol. 1, pp. 666-673, 1999. [18] Q.T. Luong and O.D. Faugeras, “The fundamental matrix: theory, algorithms, and stability analysis,” route des Lucioles, B.P. 93, 2004. [19] K. Konolige, “Small vision system: hardware and implementation,” Proc. Int'l Symp. Robotics Research, pp. 111-116, Aug. 1997. [20] Deoffrey Egnal and Richard P. Wildes, “Detecting binocular half-occlusion: empirical comparisons of five approaches,” IEEE transactions on pattern analysis and machine intelligence, vol. 24, No. 8, 2008. [21] T. Lindegerg, “Scale-space theory: a basic tool for analyzing structures at different scales,” Jour. of App. Stat., 21(2), pp. 225-270, 1994. [22] S. Smith, and J. Brady, “SUSAN-a new approach to low level image processing,” IJCV, 23(1), pp. 45-78, 1997.
摘要: 
在本論文中,我們大致可以將這個研究分成兩個部份,首先是取得立體像差影像,其中包括了雙攝影機的校正,再來則是如何準確且有效率的完成人體偵測。在人體偵測的部份,我們使用X-D平面的二維模糊歸屬直方圖來分析影像中可能存在人體的部份,並利用大小適應性濾波器來針對平均人體大小的區域做加強,更有利於直方圖的分析。經過分析的結果,我們可以發現影像中人類物件存在的部份確實有人型的分割區域產生,而我們也在一系列的序列影像中將人類物件存在的地方做一圈選的動作。

In this thesis, we focus on the detection of human bodies using two cameras. We can roughly divide this research into two steps. The first one is to obtain the stereo disparity images, which includes the calibration of cameras as preprocessing. The second step is to detect the human regions accurately and efficiently. We extract the human regions in the images by using the fuzzy 2D histogram on the X-D plane. Then we used a scale-adaptive filter to enhance the area with an average scale for human bodies. According to the experiment results, our method can produce a segmentation region of the human shape which contains a human object in the image. And we had tracked the movements of human objects in the video sequences.
URI: http://hdl.handle.net/11455/7933
其他識別: U0005-1108200819564900
Appears in Collections:電機工程學系所

Show full item record
 

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.