Title :
Automatic video image moving target detection for wide area surveillance
Author :
Munno, C.J. ; Turk, H. ; Wayman, J.L. ; Libert, J.M. ; Tsao, T.J.
Author_Institution :
Vitro Corp., Silver Spring, MD, USA
Abstract :
Two image processing techniques developed for moving target indication from video infrared imagery in natural scenes are presented. It is shown that frequency domain spatio-temporal filtering of video sequences and spatio-temporal constraint error of image frame pairs are able to detect and track moving targets (e.g., personnel) in natural scenes in spite of low image contrast, changes in the target´s infrared image pattern, sensor noise, or background clutter. The effectiveness of the motion filtering algorithms when applied to sequences of data corrupted with additive noise is shown. The effectiveness of the CFAR (constant false alarm rate) adaptive threshold algorithm in controlling the false alarm rate for motion detection has been demonstrated. These steps have permitted substantial data reduction so that real-time processing is possible
Keywords :
motion estimation; security; video signal processing; CFAR; adaptive threshold algorithm; additive noise; automatic video image moving target detection; background clutter; constant false alarm rate; data reduction; frequency domain spatio-temporal filtering; image contrast; image frame pairs; image processing; infrared image pattern; motion detection; motion filtering algorithms; moving target indication; natural scenes; personnel; real-time processing; sensor noise; spatio-temporal constraint error; video infrared imagery; video sequences; wide area surveillance; Image motion analysis; Video signal processing;
Conference_Titel :
Security Technology, 1993. Security Technology, Proceedings. Institute of Electrical and Electronics Engineers 1993 International Carnahan Conference on
Conference_Location :
Ottawa, Ont.
Print_ISBN :
0-7803-1479-4
DOI :
10.1109/CCST.1993.386826
