摘要
针对Camshift跟踪算法无法适应目标的高速运动、背景复杂和遮挡的情况,提出了一种改进算法。将Kim算法和卡尔曼滤波状态预测引入,用Kim算法提取运动目标区域信息,根据以往目标位置点的信息对当前帧中目标的可能位置预测,解决了传统Camshift算法的一些局限。实验表明改进算法在目标高速运动、遮挡情况下,仍能进行有效跟踪。
Aiming at several problems existing in the Camshift algorithm ,such as will track failure when the object is moving in a high speed, complex background and object is occlusioned seriously, a new improved tracking algorithm based on Camshift is proposed.we proposes an improved for the previous algorithm combined with Kim algorithm and Kalman ？lter. Kim is used for extracting the information of moving object and Kalman filter is used for estimating the position,that solved some limitations in the previous algorithm. Tracking results show that the improved algorithm is robust to high-speed target,complete covering.
出处
《电子设计工程》
2011年第4期137-139,共3页
Electronic Design Engineering
