An objective tracking Camshift algorithm based on automatic startup and the statistical differential method
Xing Chun · Caai Transactions on Intelligent Systems · 2011
The camshift tracking algorithm has the advantage of better real-time characteristics,but it is not able to start up automatically and is susceptible to noise and color change in the tracking process.In order to solve these problems,an improved Camshift algorithm was proposed.First,a statistical difference algorithm was applied for rapid localization of mobile targets,and the initial foreground object's region was obtained.Then,an accurate target color histogram model was obtained by gathering foreground area statistics.The query table of the skin color histogram was also calculated taking this area as a prototype.Meanwhile,an auto-start algorithm was successfully achieved with several subsequent steps.Finally,the algorithm was validated through experiments.