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一种改进的Camshift和Kalman相结合的运动目标跟踪算法 被引量:2

An Improved Algorithm for Target Tracking Based on Camshift Algorithm and Kalman Filter
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摘要 针对被检测的运动目标在图像中被遮挡或者有相似颜色的运动目标干扰的问题,采用将Camshift算法与Kalman算法进行线性加权的方法完成对运动目标的预测跟踪。算法能有效解决运动目标被遮挡或相似颜色运动目标干扰使目标跟踪丢失的问题。实验表明该算法能够更好地进行检测和跟踪某一指定的运动目标。 As the moving targets in the images are easy to be sheltered and affected by a similar color target,an improved algorithm is combined Camshift algorithm with Kalman filter is proposed in this paper.The algorithm is integrated the two method with the linear weighting to track the moving targets.Kalman Filter can give reference excellent prediction of the target and make sure the continuity of tracking.The proposed method can still achieve effective tracking when the target is partially sheltered or effectively overcome the issue of object exit when background disturbance exists.
出处 《工业控制计算机》 2016年第1期80-81,共2页 Industrial Control Computer
关键词 目标跟踪 CAMSHIFT算法 KALMAN算法 target tracking Camshift algorithm Kalman algorithm linear weighting
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  • 1Zhang R,Zhang S,Yu S.Moving objects detection method based on brightness distortion and chromaticity distortion [J]. Con- sumer Electronics,lEEE Transactions on,2014,53(3)=1177-1185.

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