Using Color Histograms to Recognize People in Real Time Visual Surveillance
نویسندگان
چکیده
This paper presents a surveillance system that detects and recognizes people in indoor scenes. To distinguish between different people, color histograms on a perceptually uniform color space are used. The goal here is to associate a sequence showing a person leaving a room with the previously recorded sequence showing that same person entering.
منابع مشابه
ردیابی و شناسایی مجدد افراد در شبکه ای از دوربین ها با دید مجزا بر مبنای سیستم فازی در محیط های بسته
The selection of a suitable feature is an important and indispensible issue in real-time surveillance systems employing a network of cameras to achieve rapid and accurate results. We have used the concept of color image histograms, as a simple but efficient method, to track people in different cameras in this research. Employing the image histogram for tracking may not be robust as it is sensit...
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