سال انتشار: ۱۳۷۹

محل انتشار: اولین کنفرانس ماشین بینایی و پردازش تصویر

تعداد صفحات: ۱۲

نویسنده(ها):

heydar mokhtari farivar – tabriz university

چکیده:

this paper descrines an end -to-end method for extracting moving targets from a real – time video stream classifying them into redefined categories according to image -based properties and then robustly tracking them moving targets are detected using the pixelwise difference betwen consecutive image frames. a classification metric is applied these targets with a temporal consistencyconstraint to classify them into three categories: human , vehicle or backgroung clutter. once classified targets are tracked by a combination of temporal differencing and template matching.