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Moving objects extraction from image/video sequences is one of the most interesting, well-focused and well addressed but still challenging topic in computer vision. Results of segmentation depend on the variation of local or global light intensities, object's shadow and background changes. Object recognition and tracking algorithms performance depend on(More)
Object re-identification and tracking in non-overlapping cameras is a challenging problem due to the variation of the object's appearance, linked to the different view angle, distance and color variation in different cameras. We present a computationally efficient real time human tracking algorithm, which can track objects inside the field of view (FOV) of(More)
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