Optimization of Motion Mining Algorithms Using Combining Tracker-Level strategies

In recent decades, research in motion mining and correct tracking without error in the proper time has been high importance. This paper presents a new model for motion miningusing a combination of data tracker-level strategies and then we utilize an additional layer as a tracker-level fusion to achieve the best results at the surface. In fact in this model, Fusion at tracker level models such as a black box that its output will be achieved by combining different algorithms and images features. The most important advantages of this model relative to other existing models are acceptable speed and accuracy for tracking in the higher layers

Keywords:

Motion mining , Trajectory , Video tracking , Tracker-level fusion