Object detection algorithm based on background motion compensation and hypothesis test

Guangxue Jingmi Gongcheng/Optics and Precision Engineering

Volumn 15, Issue 1, 2007, Pages 112-116

  Lai, Zuo Mei ^a,b   Wang, Jing Ru ^a   Zhang, Qi Heng ^a  

^a INSTITUTE OF OPTICS AND ELECTRONICS   (China)

^b UNIVERSITY OF CHINESE ACADEMY OF SCIENCES   (China)

Author keywords

Hypothesis test; Least square method; Motion compensation; Object detection

Indexed keywords

ALGORITHMS; CAMERAS; FEATURE EXTRACTION; IMAGE RECOGNITION; LEAST SQUARES APPROXIMATIONS; MOTION COMPENSATION; SIGNAL TO NOISE RATIO; VECTORS;

AFFINE MOTION PARAMETERS; BACKGROUND MOTION COMPENSATION; HYPOTHESIS TEST; MORPHOLOGICAL PROCESSES; MOTION VECTORS; OBJECT DETECTION;

OBJECT RECOGNITION;

EID: 33947545446     PISSN: 1004924X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

1. HAN H Z, WANG Z L. Real-time body detection based on adaptive background model [J]. J. Beijing Univ. Sci. Technol., 2003, 25 (4): 384-386. (in Chinese)
2. SUN H, ZHAO H Y. Method of estimating image motion based on the optical flow model [J]. Opt. Precision. Eng., 2002. 10 (5): 443-447. (in Chinese)
3. WANG H J, LI Z M. Real-time measuring system based on vehicle flow video image [J]. Opt. Precision. Eng., 2005, 13 (supp.): 222-226. (in Chinese)
4. YOU A Q, CHENG Y M. Motion analysis and tracking infrared target based on compensation with background movement [J]. High Power Laser and Particle Beams, 2003, 15 (5): 431-434. (in Chinese)
5. KIM J B. Efficient region-based motion segmentation for video monitoring system [D]. Kyungpook National University, 2001.
6. ZHU H, CHEN J, LI Z M, et al. Study and implementation of a video object generation algorithm [J]. Syst. Eng. Electron. 2003, 15 (l): 21-24. (in Chinese)
7. SHAPIRO L G, STOCKMAN G C. Computer vision [M]. NJ: Upper Saddle River, Prentice-Hall, 2001, 275-402.