detection after tracking failure in the case of scale change, background similar interference
and severe occlusion, the paper presents a better algorithm based on the combination of
LCT kernel correlation filter and Kalman prediction. The Kalman filter is introduced into the
re detection module of LCT. When the object tracking fails, the Kalman filter is used to
predict the position of the object in the current frame before the re detection. Compared with …