moving target classification and tracking from real -time video

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.

کلیدواژه ها:

tracking real-time video ، moving target