A New Compressive Tracking Algorithm Based on Adaptive Window
WANG Long
Abstract：This paper presents a new method of adaptive window method .Firstly the gray value in the tracking box of each frame is extracted ,the mean value is calculated .Then the gray average between two frames is compared ,a mathemati‐cal model is built for adjusting object size with an adaptive window by the ratio .Finally combined with compressive tracking algorithm ,the changing scale object is tracked .It copes with the tracking window which do not change with the changing ob‐ject during Compressive tracking algorithm .When the object size changes ,the scale of the tracking window is adjusted .So tracking accuracy is improved .The experimental results show that the improved algorithm has better robustness than the o‐riginal algorithm and the tracking performance has been improved .
Keywords：compressive trackinggray averageadaptive window
Publication Date：2016-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 1700-1704 )