基于DM642的智能視頻監(jiān)控系統(tǒng)的DSP實(shí)現(xiàn)
參考文獻(xiàn):
本文引用地址:http://m.butianyuan.cn/article/101027.htm[1] Morita S, Yamazawa K, Yokoya N. Networked video surveillance using multiple omnidirectional cameras[C], IEEE International Symposium on Computational Intelligence in Robotics and Automation, 2003
[2] Dias H, Rocha J, Silva L P. Distributed Surveillance System[C], IEEE portuguese conference on Artificial intelligence, 2005
[3] Lipton A, Fujiyoshi H, Patil R. Moving target classification and tracking from real-time video[J]. Proc.Of WACV’98,1998:8-14.
[4] Stauffer C, Grimson W. Adaptive background mixture models for realtime tracking [J] . Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition , 1999,2(6) :248 - 252
[5] Barron J, Fleet D, Beauchemin S. Performance of optical flow techniques [J]. International Journal of Computer Vision , 1994,12 (1) :42 - 77.
[6] 彭啟琮, 管慶等. DSP集成開發(fā)環(huán)境-CCS及DSP/BIOS的原理與應(yīng)用[M]. 北京:電子工業(yè)出版社, 2005
[7] TI. Reference Frameworks for eXpressDSP Software: RF5, An Extensive, High-Density System, SPRA795, 2003
[8] Li G, Zeng R, Lin L. Intelligent Control and Automation, China The Sixth World Congress[C], 2006,2:9778-9781, Dalian
[9] 王亮,黃飛, 馮少彤等. 一種改進(jìn)的二值圖像像素標(biāo)記算法[J]. 南京師范大學(xué)學(xué)報(bào)(工程技術(shù)版), 2006(2):23-29
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