Description

Object detection is a fundamental aspect in surveillance systems. Although several works aimed at detecting objects in video sequences have been reported, many are not tolerant to dynamic background or require complex computation in addition to manual parameter adjustments. This paper proposes an adaptive object detection method to work in dynamic backgrounds without human intervention. In our project we find the moving person for the input video. In this we track the moving person by updating the frame background differences of each frame. The experimental result shows the tracking efficiency of our project.