南京理工大学学报（自然科学版）2013，Vol.37Issue(1)：76-80,5.
基于贝叶斯概率的运动目标识别方法
Recognition method of moving target using Bayesian probability theory
摘要
Abstract
To recognize moving targets simply and efficiently in infrared image sequences, a novel target recognition method based on Bayesian probability theory is proposed. The target initial position in the original image frame is obtained using the correlation matching algorithm. According to the recognition properties of the target, the decision functions are established. The classification of the connected regions in the current frame is determined by calculating Bayesian probability. The pattern vector is updated after the new target is located in the current frame for the target recognition in the next frame,and the purpose of moving target recognition is achieved. Experimental results show that: according to the recognized properties and probability calculation, the method can recognize the moving target fast and effectively with low computational complexity, and also the algorithm used is suitable for embedded system complementation and has strong robusticity.关键词
运动目标/红外图像序列/目标识别/贝叶斯概率/鲁棒性Key words
moving targets/ infrared image sequences/ target recognition/ Bayesian probability/ robusticity分类
信息技术与安全科学引用本文复制引用
许敬,王晓锋..基于贝叶斯概率的运动目标识别方法[J].南京理工大学学报（自然科学版）,2013,37(1):76-80,5.
