Table of Content Cover Page    Full-Text Download    
Subscribe Now
Recommend the Paper
Improved Camshift with adaptive searching window  

*Aixia Wang, Jingjiao Li,Zhenlin Lu
Northeastern University, Shenyang, China
 wax526@tom.com
 

 
Abstract .Camshift is widely used real-time algorithm in video target tracking field. The size of searching window (SW) is a key factor of Camshift, and bigger or smaller size of SW will both decrease the real-time feature of Camshift. In this paper, a accelerated Camshift with adaptive searching window (ACASW) was proposed. Firstly the meanshift process and computational cost (CC) were modeled, and the relationship between the size of SW and CC was analyzed quantificationally, then the optimized size of SW was deduced, which was used in the proposed algorithm. From the experimental results it can be seen that, compared to the traditional Camshift with fixed EW, the proposed algorithm can reduce the computing time effectively, which improve the real-time feature of the algorithm.
 
Keywords : real-time target tracking; camshift; adaptive searching window
 URL: http://dx.doi.org/10.7321/jscse.v2.n3.3  
 
 

Subscribe Now

Email :    
Subscribe to receive free TOC's JSCSE by email
Subscribe

Recommend To Friend

Email :     People