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中国图象图形学报 2008
A Gradient Direction Based Moving Object Detection
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Abstract:
Moving object detection is an important process in intelligent video surveillance systems.On the basis of analyzing existing detection approaches,this paper proposes a detection algorithm based on a gradient directions.For a video image sequence,edge gradient images of each frame are achieved firstly by means of direction.Secondly,the traditional frame difference is improved and it car extract the rough edges of moving objects by processing two temporal correlative frames using uint8 format.Finally,after connective areas of moving objects are obtained,the complete moving object contours are effectively detected using the gradient direction.Experimental results show that,the proposed algorithm overcomes the shortcoming of not correctly detecting moving objects with traditional frame difference and can effectively and accurately extract moving object contour among indoor and outdoor environments with complex backgrounds.
