Background-Subtraction in Thermal Imagery Using Contour Saliency
International Journal of Computer Vision
Background-subtraction using contour-based fusion of thermal and visible imagery
Computer Vision and Image Understanding
Pedestrian detection by means of far-infrared stereo vision
Computer Vision and Image Understanding
Mutual information based registration of multimodal stereo videos for person tracking
Computer Vision and Image Understanding
Background updating for visual surveillance
ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
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We present a new contour-based background-subtraction technique to detect people in widely varying thermal imagery. Statistical background-subtraction is first used to identify local regions-of-interest. Within each region, gradient information in the foreground and background are combined to form a contour saliency map. After thinning, an A* path-constrained search along watershed boundaries is used to complete any broken contour segments. Lastly, the contour image is flood-filled to produce silhouettes. Results are presented that demonstrate the robustness of the approach to detect people across a wide range of thermal imagery using a fixed set of parameters.