MeanShift Tracking Algorithm with the Adaptive Bandwidth of the Target in Occlusions
窗口尺寸变化目标的遮挡跟踪

An improved Mean-Shift based tracking algorithm was proposed to solve the poor tracking ability problem in occlusions. Combinating multi-scale space theory, Kalman filter and occlusion, it can have a good tracking about scale using Kalman when target has been occluded. The experimental results show that the improved algorithm can select the proper size of the tracking window in the scenarios when the target has been occluded.