Background-subtraction using contour-based fusion of thermal and visible imagery |
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Authors: | James W Davis Vinay Sharma |
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Affiliation: | aDepartment of Computer Science and Engineering, Ohio State University, 491 Dreese Lab, 2015 Neil Avenue, Columbus, OH 43210, USA |
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Abstract: | We present a new background-subtraction technique fusing contours from thermal and visible imagery for persistent object detection in urban settings. Statistical background-subtraction in the thermal domain is used to identify the initial regions-of-interest. Color and intensity information are used within these areas to obtain the corresponding regions-of-interest in the visible domain. Within each region, input and background gradient information are combined to form a Contour Saliency Map. The binary contour fragments, obtained from corresponding Contour Saliency Maps, are then fused into a single image. An A* path-constrained search along watershed boundaries of the regions-of-interest is used to complete and close any broken segments in the fused contour image. Lastly, the contour image is flood-filled to produce silhouettes. Results of our approach are evaluated quantitatively and compared with other low- and high-level fusion techniques using manually segmented data. |
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Keywords: | Background-subtraction Fusion Thermal imagery Infrared FLIR Contour Saliency Map CSM Video surveillance and monitoring Person detection |
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