New algorithm for moving object detection

Authors

  • Vesna Zeljković Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia and Montenegro
  • Željen Trpovski Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia and Montenegro
  • Vojin Šenk Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia and Montenegro

DOI:

https://doi.org/10.2298/YJOR0401117Z

Keywords:

moving object, detection, illumination

Abstract

A new, simple, fast and effective method for moving object detection in outdoor environments, invariant to extreme illumination changes is presented as an improvement to the shading model method described in [8]. It is based on an analytical parameter introduced in the shading model, background updating technique and window processing.

References

Corrall, D., “VIEW: Computer vision for surveillance applications”, IEE Colloquium Active and Passive Techniques for 3D Vision, IEE, London, 8 (1991) 1-3.

Fathy, M., and Siyal, M.Y., “An image detection technique based on morphological edge detection and background differencing for real-time traffic analysis”, Pattern Recognition Letters, 16 (1995) 1321-1330.

Foresti, G.L., “A real-time system for video surveillance of unattended outdoor environments”, IEEE Transactions on Circuits Systems and. Video Technology, 8 (6) (1998) 697-704.

Foresti, G.L., and Regazzoni, C.S., “A change detection method for multiple object localization in real scenes”, IEEE, 1994, 984-987.

Inigo, R.M., “Application of machine vision to traffic monitoring and control”, IEEE Transactions on Vehicular Technology, 38 (3) (1989) 112-122.

Mecocci, A., “Moving object recognition and classification in external environments”, Signal Processing, 18 (1989) 183-194.

Rourke, A., Bell, M.G.H., and Hoose, N., “Road traffic monitoring using image processing”, 3rd International Conference on Road Traffic Control, London, May 1-3, 1990, 163-167.

Skifstad, K., and Ramesh, J., “Illumination independent change detection for real world image sequences”, Computer Vision, Graphics, and Image Processing, Vol. 46, 1989, pp. 387-399.

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Published

2004-03-01

Issue

Section

Research Articles