Moving object extraction in PTZ camera using the integration of background subtraction and local histogram processing

Abstract

This paper proposes a technique of extracting moving object using a pan-tilt-zoom (PTZ) camera. The technique is based on the integration of background subtraction and local histogram processing. Background images are modeled as multiple images and their corresponding camera pose information (pan and tilt angles). To detect object in current image, first the system will determine the most matched background based on the acquired PTZ's pose information. Then the matched background is compensated with respect to current image, whereby the background subtraction is done between the two aligned images. The resultant output is then cleaned up using morphological opening operator, before local histogram processing is done and finally followed by closing operation. The results show the moving object can be successfully extracted after go through these four steps.