A Fuzzy Region Understanding Tactic for Object Tracking Based on Frog''s Vision Characteristic
基于蛙眼视觉特性的运动目标模糊化区域理解跟踪方法

The detection and tracking of moving objects under dynamic scenes is one of the hot topics in computer vision research. The problem is difficult when local scenes or object's appearance vary saliently. In this paper, we develop a robust intelligent tracking tactic based on the intrinsic and extrinsic features of frog's visual system. It is achieved through a so called ``fuzzy region understanding'. Experimental results on real lab-video and comparison with two traditional algorithms are reported to demonstrate the validity and robustness of our algorithm.