Rapid Background Extraction and Update Algorithm
Minghui Li, Su Hongye, Lida Dong · Jisuanji gongcheng · 2010
If using the traditional algorithms of background extraction and update on the fixed-point DSP, which is memory-limited and weak at floating-point operation, the detection speed is slow and the real-time ability is poor. The algorithm initializes the background reference frame according to the hypothesis that the background pixel intensity appears in video sequence with maximum probability and the temporal relativity between two neighboring frames. In the session of background update, the algorithm updates the background reference frame by assigning different weights to the original background and the current frame and calculating the result based on shifting operation. It is successfully implemented on TMS320DM642 and results show that the algorithm can meet the real-time constraint in 25 FPS.