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There have been some traffic light detection systems developed by researchers and most of them use camera to detect traffic light. Sometimes, those systems still detect many non-traffic light objects as traffic lights. This paper presents methods for eliminating traffic light candidate based on the traffic light candidate's position in video's frame by using machine learning algorithm. The traffic...
One popular approach for multi-camera detection of pedestrians or other objects of interest in surveillance scenes is to perform background subtraction and project the resulting foreground mask images to a common scene plane using homographies. As the complexity of the scene increases, it is unavoidable that so called "ghost" detections should occur. These are false positives, indicating...
A generic approach is presented to detect and track people with a network of fixed and omnidirectional cameras given severely degraded foreground silhouettes. The problem is formulated as a sparsity constrained inverse problem. A dictionary made of atoms representing the silhouettes of a person at a given location is used within the problem formulation. A reweighted scheme is considered to better...
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