基于Camshift的人脸跟踪算法

Camshift跟踪算法具有很好的实时性,但是也存在不能实现自动跟踪,跟踪过程中鲁棒性不强,遇到遮挡问题跟踪失效,只能进行单人脸跟踪等问题。针对这些问题,提出了基于改进Camshift的人脸跟踪算法,该算法结合了Adaboost人脸检测算法并改进了原算法中的颜色直方图模型。以实际人脸检测与跟踪实验为例,证明了该算法在人脸自动检测跟踪过程中具有速度快、准确度高,同时可以跟踪多个人脸,能有效克服跟踪过程中遮挡问题等。

Face Tracking Algorithm Based on Camshift

Camshift tracking algorithm has the advantage of better real-time,but the algorithm can't realize automatic tracking,bad robustness in tracking procedure,tracking failure when occlusion occurrence,only can realize single face tracking,etc.Aiming at these problems,presents the method of face tracking based on Camshift algorithm,The algorithm is improved by integrating with Adaboost face detection and color histogram model.By actual face detection and face tracking as example are taken,this algorithm has advantages of quick speed and good accuracy,meanwhile realize multi-human face tracking and overcome occlusion problem in the process of tracking.