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基于特征区域匹配的运动物体检测

Motion Detection Based on Character Area Matching
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摘要 提出了一种利用特征区域的匹配实现运动目标提取的检测方法。特点是能通过背景图像与当前图像的特征区域中心位置偏差,确定运动目标在背景图像中的确切位置。实验证明,这种方法运算量小,适应性强,并且能在复杂的背景环境下有较好的检测效果。 A method for motion detection using area template matching is proposed. It can locate the motion area by the deviation of character area's center between background image and foreground image. With this method, a motion object can be separated from background accurately. The experiment has been done to prove that the method is quick and robust in detecting the moving object under the complicated background environment.
机构地区 中北大学
出处 《山西电子技术》 2006年第1期78-79,共2页 Shanxi Electronic Technology
关键词 运动检测 特征区域 中心位置 motion detection character area center location
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  • 1[25]Kohle M, Merkl D, Kastner J. Clinical gait analysis by neural networks: Issues and experiences. In: Proc IEEE Symposium on Computer-Based Medical Systems, Maribor, Slovenia, 1997. 138-143
  • 2[26]Meyer D, Denzler J, Niemann H. Model based extraction of articulated objects in image sequences for gait analysis. In: Proc IEEE International Conference on Image Processing, Santa Barbara, California 1997. 78-81
  • 3[27]McKenna S et al. Tracking groups of people. Computer Vision and Image Understanding, 2000, 80(1):42-56
  • 4[28]Karmann K, Brandt A. Moving object recognition using an adaptive background memory. In: Cappellini V ed. Time-varying Image Processing and Moving Object Recognition. 2. Elsevier, Amsterdam, The Netherlands, 1990
  • 5[29]Kilger M. A shadow handler in a video-based real-time traffic monitoring system. In: Proc IEEE Workshop on Applications of Computer Vision, Palm Springs, CA, 1992.1060-1066
  • 6[30]Stauffer C, Grimson W. Adaptive background mixture models for real-time tracking. In: Proc IEEE Conference on Computer Vision and Pattern Recognition, Fort Collins, Colorado, 1999, 2:246-252
  • 7[31]Wren C, Azarbayejani A, Darrell T, Pentland A. Pfinder: Real-time tracking of the human body. IEEE Trans on Pattern Analysis and Machine Intelligence, 1997, 19(7):780-785
  • 8[32]Arseneau S, Cooperstock J. Real-time image segmentation for action recognition. In: Proc IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, Victoria, Canada, 1999. 86-89
  • 9[33]Sun H, Feng T, Tan T. Robust extraction of moving objects from image sequences. In: Proc the Fourth Asian Conference on Computer Vision, Taiwan, 2000.961-964
  • 10[34]Lipton A, Fujiyoshi H, Patil R. Moving target classification and tracking from real-time video. In: Proc IEEE Workshop on Applications of Computer Vision, Princeton, NJ, 1998. 8-14

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