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 (pp.263-274). Berlin : Springer [10.1007/11864349].

Foreground-to-ghost discrimination in single-difference pre-processing

ARCHETTI, FRANCESCO ANTONIO;MANFREDOTTI, CRISTINA ELENA;MESSINA, VINCENZINA;SORRENTI, DOMENICO GIORGIO
2006-10-04

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.
paper
Scientifica
Modeling ; Motion detection ; Discrimination ; Motion estimation ; Artificial intelligence ; Image processing ; Computer vision ;
English
International Conference on Advanced Concepts for Intelligent Vision Systems
978-3-540-44630-9
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 (pp.263-274). Berlin : Springer [10.1007/11864349].
Archetti, F; Manfredotti, C; Messina, V; Sorrenti, D
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/6620
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