关键词: 图像处理, 目标检测, 背景图像集, 稳健主成分分析, 稀疏表示

Abstract: This paper proposed a moving target detection method based on the background image set and sparse representation. The method combined the Robust Principal Component Analysis (RPCA) and the image block analysis method based on sparse representation. The authors got a series of background images from a video sequence by RPCA, and combined these background images as the background image set, treating image block as basic unit, and moving target was extracted from input frame by image block analysis method based on sparse representation. The simulation results indicate that when the background illumination mutates, the proposed method can effectively eliminate the impact of environment noise and reduce the false detection rate of target detection.

Key words: image processing, target detection, background image set, Robust Principal Component Analysis (RPCA), sparse representation