Computer visual object tracking algorithms suffer from many difficulties and bottlenecks. However, robust visual
object tracking is just a basic capability of human visual system(HVS). Therefore, a computational model simulating topdown
visual attention mechanism is constructed, and an object tracking algorithm is proposed by detecting focus area of
visual attention to imitate the global searching process of HVS and applying particle filter tracking to emulate the local
tracking process of HVS. Comparative experimental results show the outperformance of the proposed algorithms in visual
object tracking.