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Moving object detection in the presence of complex dynamic backgrounds such as swaying of trees, spouting of water from fountain, ripples in water, flag fluttering in the wind, camera jitters, noise, etc., is known to be very difficult and challenging task. In addition to this, illumination variation, camouflage and real-time constraint aggravate the problem further. Background subtraction (BS) is...
Detection of a moving object in a non-stationary scene is a very critical and challenging step for visual surveillance applications. Background subtraction (BS) is a widely used algorithm for moving object detection in the presence of static cameras. Its performance purely depends on the choice of features used for background modeling. The traditional BS assumes that the background is static or near-static...
Moving object detection in the presence of changing illumination and non-stationary background such as swaying of trees, fountains, ripples in water, flag fluttering in the wind, camera jitters, noise, etc., is known to be very difficult and challenging task. Background subtraction (BS) is the most sought after technique for moving object detection. Still, most of the BS techniques do not take into...
In computer vision, detection of moving objects from a complex video scene is an important and challenging problem. It finds application in many computer vision and artificial intelligent systems. Background subtraction is a very popular and powerful technique in computer vision for moving object detection in the presence of stationary camera. In the proposed scheme, Wronskian change detection model...
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