Object Tracking Algorithm Based on Histograms of Oriented Gradients by Fusing Particle Filter
Xu Zheng · Journal of Chinese Computer Systems · 2012
Since Kernel based object tracking algorithm using histograms of oriented gradients always loses object under the conditions of occlusion or fast motion and particle filter tracking algorithm costs huge computation time,a kernel based tracking algorithm integrated with particle filter is proposed.Under normal circumstances,the object is tracked by the algorithm based on Histograms of Oriented Gradient,when the conformability of candidate object is less than the threshold,the tracking result would be verified by particle filter algorithm.The experiments show that the algorithm effectively solves the problem of the object-loss under the conditions of occlusion or fast motion,the algorithm is with a better real time quality and also overcomes the particle-degeneracy problem and can get good tracking results under low-contrast conditions.