isMHI结合CAMSHIFT的多目标跟踪

为实现对视频监控场景中多目标的实时跟踪,提出一种基于isMHI与CamShift 的持续跟踪方法。当进入到视频场景中的目标处于运动状态时,该方法基于isMHI对其进行跟踪。当场景中的某些目标转为静止状态时,则基于CamShift 对其进行监视锁定,并确定了两种跟踪状态的承接算法。实验数据表明,该方法通过优点互补克服了基于MHI方法以及基于CamShift 方法各自的缺陷,能够在保持较小错误率基础上实现对视频场景中多个目标的动态或静态状态下的持续、稳定、实时的跟踪,可用于安全保卫应用或交通应用中感兴趣目标的跟踪监控。

Multi-object tracking by isMHI combining with CamShift

To realize the real-time tracking of multiple objects in video scene, a tracking method based on increased-step Motion History Image (isMHI)and Continuously Adaptive Mean Shift (CAMSHIFT) is proposed. The moving objects entering the video scene could be tracked based on the isMHI, and they could be locked and monitored based on CAMSHIFT instead once they turn to stay, moreover the joint algorithm between the moving state and resting state was also defined. Experimental results show that this method combines with their advantages and overcomes the faults from isMHI based and CAMSHIFT, respectively. So not only the continual, stable and real-time tracking of moving objects can be realized, but also resting objects in video scene with the error rate remains low. Thus, it can be applied to monitoring the interesting objects in the security or the traffic.