earticle

영어

Based on the analysis of the shortcomings of the current KLT (Kanade-Lucas-Tomasi) algorithm, a new, self-adaptive tracking algorithm is devised. Through introducing a kind of filtering mechanism, interference from surrounding noise and light on the tracked target is reduced. In order to reduce the error in tracking, a method based on forward-backward error approximation is utilized. Since such approximation reduces the number of visual feature points on the target, when the target changes in its shape tracking failure may easily result. In order to prevent this possible failure, a mechanism that appends the feature points is introduced. Experimental comparisons show that the said algorithm is clearly more effective than other similar algorithms.