Research on Moving Target Detection Algorithm Based on MRA and Wavelet Threshold
Aiming at solving the noise problem which had lowered the accuracy in the target detection result from the process of image-collection and image-transmission,the paper proposes a new target detection algorithm based on the improved wavelet threshold.Firstly,these images are filtered by a denoising method,which combines the wavelet threshold method with the correlation of the wavelet coefficients,and its Zoom feature can eliminate the negative impact of noise; then a combined algorithm which connects background subtraction and two consecutive inter-frame subtraction is set up in order to combine their advantages and improve the effect of target detection.Compared simulation results of the four models,the results show that the target detection method based on multi-scale wavelet threshold is reasonable and effective,and more suitable for the real-time target detection.
MRA wavelet threshold background subtraction inter-frame difference method moving target detection
Jingjing Wang Xiaodong Wang Jiande Wu Yugang Fan Guoyong Huang
Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunmi Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunmi
国际会议
长沙
英文
4396-4400
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）