A Target Tracking Algorithm Based on Improved Camshift and UKF

• 作者: Haidong lv Weiguo Liang Zouguo Yan
• 来源期刊: 软件工程与应用(英文)
• 学科: 工学
• 关键词: CAMSHIFT UKF TRACKING Algorithm Sheltered Problem INTERFERENCE of the BACKGROUND COLOR
• 年，卷（期）: 2014,（13）
• 页码范围: 1065-1073
• 页数: 9页
• 分类号: TP39

摘要

A tracking algorithm based on improved Camshift and UKF is proposed in this paper to deal with the problems which exist in traditional Camshift algorithm, such as artificial orientation and tracking failure under color interference as well as object’s changed illumination occlusion. Meanwhile, in order to solve the sheltered problem, the UKF is combined with improved Camshift algorithm to predict the position of the target effectively. Experiment results show that the proposed algorithm can avoid the interference of the background color and solve the sheltered problem of the object, so that achieving a precise and timely tracking of moving objects. Also it has better robustness to color noises and occlusion when the object’s scale changes and deformation occurs.