Real-time moving object detection for video monitoring systems

Proceedings - 2008 2nd International Symposium on Intelligent Information Technology Application, IITA 2008

Volumn 3, Issue , 2008, Pages 163-166

  Li, Guanglun ^a   Wang, Yanling ^b   Shu, Weiqun ^a  

^a TONGJI UNIVERSITY   (China)

^b LUOYANG NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

BACKGROUND SUBTRACTIONS; FOREGROUND SEGMENTATIONS; ILLUMINATION CHANGES; LIGHTING CONDITIONS; MOVING OBJECTS; MOVING-OBJECT DETECTIONS; REFERENCE IMAGES; TEMPORAL DIFFERENCING; VIDEO MONITORING SYSTEMS;

IMAGE RETRIEVAL; INFORMATION TECHNOLOGY; TRACKING (POSITION);

REAL TIME SYSTEMS;

EID: 62949243509     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IITA.2008.241     Document Type: Conference Paper

References (11)

1. N. Paragios, R. Deriche, Geodesic active contours and level sets for the detection and tracking of moving objects, IEEE Transactions on Pattern Analysis and Machine Intelligence 22(3) (2000) 266-280.
2. S.Fejes, L.S. Davis, Detection of independent motion using directional motion estimation. Technical Report, CAR-TR-866, CS 3815, University of Maryland, August 1997.
3. KIMJB, KIM HJ. Efficient region-based motion segmentation for a video monitoring system. Pattern Recognition Letters, 2003, 24(1-3): 113-128.
4. A. El Maadi, X. Maldague. Outdoor infrared video surveillance: A novel dynamic technique for the subtraction of a changing background of IR images. Infrared Physics & Technology, 49(2007) 261-265.
5. Zhang Y, 1996. A survey on evaluation methods for image segmentation. Pattern Recognition 29, 1335-1346.
6. Y.H. Yang, M.D. Levine, The background primal sketch: an approach for tracking moving objects, Machine Vision Applications 5 (1992) 17-34.
7. P.Spagnolo, T.D' Orazio, M. Leo, A. Distante, Moving object segmentation by background subtraction and temporal analysis, Image and Vision Computing 24(2006) 411-423.
8. Yu Shih Ming, Chang Tseng Din. A wavelet based multiresolution edge detection and tracking. Image and Vision Computing, 2005, 23: 441451
9. S.G. Sun, H. Park, Segmentation of forward-looking infrared image using fuzzy thresholding and edge detection, Opt. Eng. 40 (Nov.)(2001) 2638-2645.
10. S.C. Cheung, C. Kamath, Robust techniques for background subtraction in urban traffic video, in: Video Communications and Image Processing, SPIE Electronic Imaging, San Jose, January 2004, UCRLJC-153846-ABS, UCRL-CONF-200706.
11. A.J. Lipton, H. Fujiyoshi, R.S. Patil, Moving target classification and tracking from real-time video, in: IEEE Workshop on Applications of Computer Vision, 1998, pp. 8-14.