This paper proposes a way of recognition foreground of moving object by Foreground Extraction algorithm by Pan-Tilt-Zoom camera. It presents the combined process of Foreground Extraction and local histogram process. Background images are often modeled as multiple frames and their corresponding camera pan and tilt angles are determined. Initially have got to work out the foremost matchedbackground from sequence of input frames based on camera pose information. The method is more continued by compensating the matched background image with this image. Then Background Subtraction is completed between modeled background and current image. Finally before local histogram process is completed, noises are often removed by morphological operators. As a result correct foreground moving objects are successfully extracted by implementing these four steps.
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