Title :
Robust Motion Detection via the Fuzzy Fusion of 6D Feature Space Decompositions
Author :
Reilly, Stephen ; Kurugollu, Fatih ; Miller, Paul
Author_Institution :
Sch. of Electron., Electr. Eng. & Comput. Sci., Queen´´s Univ. Belfast, Belfast, UK
Abstract :
A change detection framework which fuses both spatial and temporal data using fuzzy if-then rules is presented. Temporal data is used on a per-pixel basis to monitor the sequence for changes by employing a fuzzy codebook model. Spatial data is gathered using a fuzzy multithresholding algorithm that decomposes the RGB color space into three color pair histograms. This system is found to be robust to noise and allows the algorithm to process successfully even when the underlying sequences result in under-segmentation of the spatial data.
Keywords :
fuzzy logic; image colour analysis; image motion analysis; image segmentation; 6D feature space decomposition; RGB color space; change detection framework; color pair histogram; fuzzy codebook model; fuzzy fusion; fuzzy if-then rules; fuzzy multithresholding; per-pixel basis; robust motion detection; spatial data undersegmentation; temporal data; Change detection algorithms; Colored noise; Computerized monitoring; Data mining; Histograms; Image segmentation; Motion detection; Robustness; Streaming media; Surveillance; image change detection; image segmentation;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2009. AVSS '09. Sixth IEEE International Conference on
Conference_Location :
Genova
Print_ISBN :
978-1-4244-4755-8
Electronic_ISBN :
978-0-7695-3718-4
DOI :
10.1109/AVSS.2009.59
