Chromatic sensitivity of illumination change compensation techniques
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
Bigbackground-based illumination compensation for surveillance video
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
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This paper describes an online learning method of color transformation for interactive object recognition. In order to recognize objects under various lighting conditions, the system estimates a color transformation from the color of an object model by observing the color of a reference object. The system first initializes a general color transformation. Next the system automatically recognizes a target object with the color transformation. When the system fails in recognition, the system recovers the failure with user interaction. Then the system improves the color transformation with an observed color pair of the recognized target object. By repeating this process, the system adapts to the new environment. Experiments using real-world refrigerator scenes are shown.