关键词: 运动目标 混合高斯 高宽比 判别

Abstract:

This paper describes an algorithm for real-time moving object detection and classification with a slatic camera based on DSP. It improves the adaptive  hybrid Gausslan model with the YUV image format which is widely used by CCD cameras. And it updates the learning coefficient a depending on the illumin ation changing speed. In the classification algorithm it uses especial height/width measurement and disperse degree to eliminate shadow effect. In many   experiments, the algorithm shows good performance.

Key words: moving object, mixture Gaussian, height width ratio, classification