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An improved, intelligent pedestrian counting system, using images obtained from a single video camera, is described in this paper. This system is capable of detecting and counting a group of pedestrians in the region of interest. Groups can be extracted by using the image processing method, and a kernel-induced probabilistic neural network (KPNN) employed to perform the classification, and estimate...
In recent years video-basedanalysis of human motion has gained increased interest, which for a large part is due to the ongoing rapid developments of computer and camera hardware, such as increased CPU power, fast and modular interfaces and high-quality image digitisation. A similar important role is played by the development of powerful approaches for the analysis of visual data from video sources...
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