Context Object Tracking Algorithm Based on TLD Framework
Cai Xiaoy · Video Engineering · 2015
A spatio-temporal context object tracking algorithm based on the framework of TLD(Tracking-Learning-Detection)is proposed.The tracking algorithm via spatio-temporal context learning is worked as the tracker to improve the stability and the robustness in object tracking.Kalman filter is introduced to deal with heavy occlusions.Additionally,frame difference method is employed to detect the candidate region of moving object in the detection module.This coarse-to-fine search strategy reduces the computational complexity in the detection procedure.According to the experimental results,the proposed method has good robustness and efficiency.