Opto-Electronic Engineering, Volume. 40, Issue 1, 17(2013)
A Robust Method for Moving Object Detection
[1] [1] Lucas B,Kanade T. An iterative image registration technique with an application to stereo vision [C]//Proceedings of the DARPA Image Understanding Workshop,Pittsburgh, Pennsylvania,Oct 22-24,1981:121-130.
[2] [2] McI vor A M. Background subtraction techniques [C]// Proc. of Image and Vision Computing,Auckland,New Zealand, 2000:128-221.
[3] [3] Lipton A J,Fujiyos hi H,Patil R S. Moving target classification and tracking from real-time video [C]// Proc. of Workshop Applications of Computer Vision,Pittsburgh P A,Oct 19-21,1998:8-14.
[4] [4] Wang L,Hu W,Tan T. Recent developments in human motion analysis [J]. Pattern Recognition(S0031-3203),2003,36(3): 585–601.
[5] [5] Stauffer C,W G rims on. Adaptive background mixture models for real-time tracking [C]//Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition,Fort Collins, CO,Jun 23-25,1999:246-252.
[8] [8] Ramin Zabih,Justin Miller,Kevin Mai. A feature-based algorithm for detecting and classifying production effects [J]. Multimedia Systems(S0942-4962),1999,7(2):119–128.
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AO Bang-qian, LIAO Hong-hong, XIONG Fei-qiao. A Robust Method for Moving Object Detection[J]. Opto-Electronic Engineering, 2013, 40(1): 17
Received: Jun. 21, 2012
Accepted: --
Published Online: Jan. 16, 2013
The Author Email: Bang-qian AO (aobangqian@163.com)