Motion detection system based on improved LBP operator

Abstract

A fast and reliable motion detection algorithm is very important to an intelligent surveillance system. Local Binary Pattern (LBP) is one of powerful texture description and comparison mechanisms, but in contrast consumes a large portion of computational time in a CPU based system. In this paper, we propose a moving object detection algorithm based on the improved LBP operator which is tolerant against pixel noise. Combining the background subtraction algorithm and the frame difference algorithm, the automatic refreshing of the background is realized. The moving object detection system which can achieve real time processing of a 1024 × 768/60 Hz VGA signal is designed on a PFGA chip and all the algorithms are mapped to hardware logic. ROC curves of the experiments demonstrate that in the condition with shifty illumination, the algorithm based on LBP operator has a better performance than the algorithm based on grayscales.