摘要
针对目标跟踪中的目标遮挡、丢失等情况,提出了一种改进的基于空间边缘方向直方图的Camshift/Kalman跟踪算法。首先,利用空间边缘梯度方向作为匹配信息,同时自适应修正每帧中的匹配模板,再使用Kalman滤波器对运动目标的位置进行预测更新,以克服目标遮挡情况及噪声的干扰。实验表明,该算法能够较好处理目标遮挡情况,实现运动目标的高精度跟踪。
To the problems such as object occlusion and object losing in moving object tracking,a modified Camshift/Kalman tracking algorithm,based on the spatial edge orientation histogram is proposed.The edge orientation is used as the matching information,and the adaptive template is proposed to adapt the change of the object.Kalman filter is used for estimating the position of the moving object to overcome the object occlusion and noise disturbance.The experiments show that the proposed algorithm can deal with the...
出处
《控制工程》
CSCD
北大核心
2010年第4期470-474,共5页
Control Engineering of China
基金
国家自然科学基金资助项目(60675043)
浙江省科技计划基金资助项目(2007C21051)