利用Camshift算法实现运动目标自动跟踪  

Using Camshift Algorithm to Track Moving Objects Automatically

作　　者：曲巨宝[1] 王淑娟[2] 林宏基[3] 

机构地区：[1]武夷学院数学与计算机系,福建武夷山354300 [2]武夷学院继续教育学院,福建武夷山354300 [3]福州大学数学与计算机科学学院,福建福州350002

出　　处：《湖南工业大学学报》2010年第5期58-63,共6页Journal of Hunan University of Technology

基　　金：福建省自然科学基金资助项目(2006J0414)

摘　　要：为实现在背景复杂、颜色混淆、目标形变等环境下自动跟踪目标,将Camshift算法对色调分量敏感的特性推广到饱和度、亮度等分量,构造了颜色三分量凸函数组合模型,利用多目标规划最优求解法获取自适应颜色识别最佳组合解,结合质心、倾角识别和Kalman运动信息预测跟踪技术,取得了复杂场景下多色度目标发生旋转、遮挡和速率变化时都能精确跟踪的效果,并将这种改进的Camshift组合算法应用在自适应实时跟踪系统上,提高了系统识别速度和跟踪能力。To realize tracking targets automatically in the environments of complex background,color confusion and target deformation,the characteristics of Camshift algorithm sensitive to the hue component are extended to saturation,brightness and other components,and a convex combination of three-component color model is set up.The multi-objective programming optimal solution is used to get the best combination of adaptive color recognition,and combining with the center of mass,inclination to identify and Kalman tracking motion information prediction,the accurate tracking results are obtained in complex scenes of color target rotated,block and rate changes.The improved Camshift combination algorithm is applied in real-time adaptive tracking systems,and the recognition speed and tracking capability of systems are improved.

关 键 词：CAMSHIFT KALMAN 跟踪 自动 HSV 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]