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This paper proposes the video object segmentation using block-matching-based self-organization maps and a kernel function. A window covering a target object in a frame is split into units with some pixels. A vector with two elements is provided a unit to quantify its color attributes, and is presented to train a map. It is also presented to classify the units. The trained map then judges the class...
A system for counting pedestrians in sequence images obtained from single video camera is proposed in this paper. This system has the capabilities of simultaneously detecting and tracking several groups of pedestrians. Groups can be extracted by using the background subtraction method, and a layered neural network with BP learning algorithm is applied to estimate the number of pedestrians in each...
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