“…Object tracking is important for many applications including autonomous driving, unmanned aerial vehicle, intelligent monitoring, etc. The object tracking models used by prior work can be clustered into several categories: discriminative or generative models (Li et al, 2013 ; Wang N. et al, 2015 ), machine learning models (Grabner et al, 2008 ; Wang and Yeung, 2013 ; Hare et al, 2016 ), and dynamic neural models (Faubel and Schöner, 2008 ; Spencer and Perone, 2008 ; Wu et al, 2008 ; Martel and Sandamirskaya, 2016 ). The generative models leverage specific characteristics to represent the object, i.e., using representative methods such as the PCA (Ross et al, 2008 ; Wang et al, 2013 ) and sparse coding methods (Jia et al, 2012 ; Zhang T. et al, 2012 ), while the discriminative models separate the object from the backgrounds by training binary classifier (Kalal et al, 2012 ; Zhang K. et al, 2012 ).…”