摘要
红外成像系统已被广泛地应用于红外精确制导、视频监控、搜索和跟踪等领域。基于红外视频的目标检测与跟踪是上述领域中的一项重要技术,文中通过结合GMM和PBAS算法的优点进行背景提取,再结合Kalman滤波进行目标检测与跟踪。实验证明该方法能够在多种外部扰动情况下准确地提取背景并抑制阴影对真实运动目标的影响。
Infrared imaging system has been widely used in infrared guidance,video surveillance,searching and tracking and other military and civil fields. Infrared imaging target detection and tracking is an important technology in the field. In this paper,target detection and tracking is processed by Kalman filtering and combining the advantages of GMM and PBAS algorithm. The experiments show this method can extract background accurately even under a variety of external disturbances（ illumination,camera shake slightly） and suppress shadow effect to the real moving target.
出处
《信息技术》
2016年第4期171-174,共4页
Information Technology
