Adaptive Moving Vehicle Detection Algorithm Based on Hybrid Background Subtraction and Frame Difference
Yan Li Luo, Han Lin Wan, Xue Li, Qing Bin Gao · Applied Mechanics and Materials · 2014
This paper proposes an adaptive moving vehicle detection algorithm based on hybrid background subtraction and frame difference. The background image of continuous video frequency is reconstructed by calculating the maximun probability grayscale using grey histogram; Moving regions is gained by frame defference, the initial target image is obtained by background difference method,moving regions image and initial target image AND,XOR and OR operations to get the vehicle moving target images. Experimental results show that the algorithm can response timely to the actual scene changes and improve the quality of moving vehicle detection.