Acta Optica Sinica, Volume. 30, Issue 6, 1715(2010)
Infrared Target Detecting Based on Symmetrical Displaced Frame Difference and Optical Flow Estimation
[1] [1] B. S. Denney,R. J. P. de Figueiredo. Optimal point target detection using adaptive auto regressive background[C]. SPIE,2000,4048:46-57
[6] [6] Meng Li,Tianxu Zhang,Weidong Yang. Moving weak point target detection and estimation with three-dimensional double directional filter in IR cluttered background[J]. Opt. Eng.,2005,44(10):107007
[7] [7] Meng Li,Tianxu Zhang,Weidong Yang et al.. Three-dimensional double directional filter for tracking and detecting moving dim weak target[J]. SPIE,2005,6044:60441F
[8] [8] Cong Yang,Tang Yangdong. Research on video object tracking method based on optical flow and target matching[J]. Infraredand Laser Engineering,2006,10(35):Supplement:312-315
[9] [9] Yin Yong,Liu Xifu. Face detection and prediction technology based on video surveillance[J]. J. Chongqing University,2008,31(7):786-791
[10] [10] Li Ping,Ding Xuefeng. Self-adapting background restoration differ subtraction arithmetic[J]. J. Changchun University of Science and Technology (Natural Science Edition),2007,30(4):111-112
[11] [11] Zheng Shiyou. Moving Target Detection and Tracking In Image Sequences Acquired By a Mobile Camera[D]. Nanjing:Southeast University,2006
[12] [12] Zhang Tianxu. Automated Recognition of Imaged Target[M]. Hubei:Hubei Science and Technology Press,2005. 221-239
[13] [13] B. K. P. Horn,B. G. Schunck. Schunck determining optical flow[J]. Artificial Intelligence,1981,17(10):185-203
[16] [16] Lei Zhongxin. Digital Image Processing[M]. Beijing:National Defence Industry Press,2003. 102-199
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Luo Huan, Wang Fang, Chen Zhongqi, Yu Lei. Infrared Target Detecting Based on Symmetrical Displaced Frame Difference and Optical Flow Estimation[J]. Acta Optica Sinica, 2010, 30(6): 1715
Category: Machine Vision
Received: Jun. 5, 2009
Accepted: --
Published Online: Jun. 7, 2010
The Author Email: Huan Luo (luohuan928@sohu.com)