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In surveillance system video sequences are obtained through static cameras and fixed background. A popular approach called background subtraction is generally used in this scenario. Existing approaches in this field try to detect the object first and then remove the shadow in the subsequent phase. Here we have tried to combine both object detection and shadow removal module to a single module. In...
In this paper we propose the idea of fusing information from facial features and colour intensity of a person for the purpose of matching targets across cameras with non-overlapping field of views in a camera sensor network. Cumulative Brightness Transfer Function (CBTF) is used to model and learn the relationship of separate radiometric responses of the cameras and difference in illumination of the...
The goal in this paper is to detect and remove shadows of moving objects in colour image sequences. The method works by deriving the shadow edges of a 3-band colour image, integrating edge information temporally in the image sequence, and subsequently removing these shadows by a method paralleling reflectance recovery by entropy minimisation. The method incorporates background subtraction information...
In this paper we present an analysis of the inter-camera matching problem based on colour and intensity of targets. Brightness Transfer Function (BTF) have been quite effective in matching targets across cameras with non-overlapping fields of view. The BTF effectively compensates for the illumination changes in the environment and radiometric distortions due to difference in camera sensors. We used...
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