Human visual intelligence and particle filter based robust object tracking algorithm
Zonghai Chen · Kongzhi yu juece · 2012
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.