It is well known that motion detection using single frame differencing, while computationally much simpler than other techniques, is more liable to generate large areas of false foregrounds known as ghosts. In order to overcome this problem the authors propose a method based on signed differencing and connectivity analysis. The proposal is suitable to applications which cannot afford the un-avoidable errors of background modeling or the limitations of 3-frames preprocessing.
Archetti, F., Manfredotti, C., Messina, V., Sorrenti, D. (2006). Foreground-to-ghost discrimination in single-difference pre-processing. In Advanced Concepts for Intelligent Vision Systems 8th International Conference, ACIVS 2006, Antwerp, Belgium, September 18-21, 2006, Proceedings (pp.263-274). Springer Verlag [10.1007/11864349_24].
Foreground-to-ghost discrimination in single-difference pre-processing
ARCHETTI, FRANCESCO ANTONIO;MANFREDOTTI, CRISTINA ELENA;MESSINA, VINCENZINA;SORRENTI, DOMENICO GIORGIO
2006
Abstract
It is well known that motion detection using single frame differencing, while computationally much simpler than other techniques, is more liable to generate large areas of false foregrounds known as ghosts. In order to overcome this problem the authors propose a method based on signed differencing and connectivity analysis. The proposal is suitable to applications which cannot afford the un-avoidable errors of background modeling or the limitations of 3-frames preprocessing.
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