An Efficient Object Tracking Algorithm of Sports Video
Hongyuan Guo · Advances in computer science research · 2016
This paper studies the moving object tracking technology for sports video and puts forward an optimized hybrid tracking method.First, particle filter algorithm is adopted to predict the position of moving target, and then compute comparability between object model and object on the estimated position, if the comparability is less than a certain threshold value, we consider the object's dynamic model has changed and need to modify the dynamic model; if the comparability is more than a certain threshold value, we consider the object's dynamic model has not changed and don't need to modify the dynamic model, in this way we can find the dynamic model of optimization.Finally we use this dynamic model of optimization in mean-shift algorithm, and compute object's true position.