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2 Background Model Background subtraction algorithm is susceptible to both global and local illumination changes such as shadows, sunlight and reflection. These changes sometimes c...
Color object recognition methods that are based on image retrieval algorithms can handle changes of illumination via image normalization, e.g. simple color-channel-normalization1 ...
Simultaneous registration and segmentation (SRS) provides a powerful framework for tracking an object of interest in an image sequence. The state-of-the-art SRSbased tracking meth...
In previous work, we developed the Illum-PF-MT, which is the PFMT idea applied to the problem of tracking temporally and spatially varying illumination change. In many practical p...
Detecting foreground object often need to face the problems of illumination change and image noise. In this paper, we propose an object detection method using two successive image...
Jung Ming Wang, Shen Cherng, Chiou-Shann Fuh, Sei-...