基于梯度特征和颜色特征的运动目标跟踪算法

Tracking algorithm for moving objects based on gradient and color

由于在复杂背景下仅针对目标的颜色或梯度特征进行跟踪存在不足,提出一种基于梯度特征和颜色特征相融合的CG_CamShift跟踪算法。该算法充分利用颜色直方图对目标全局的描述及方向梯度图对结构信息的描述,并结合Kalman滤波对运动目标位置进行预测,解决了复杂背景下光照、遮挡等引起的目标跟踪丢失等问题。实验结果表明,该方法在保障跟踪实时性的前提下提高了跟踪精度,并具有较强的鲁棒性。

Since there are deficiencies in tracking moving object based on either color feature or gradient feature under complex background, a new algorithm CG_CamShift was proposed with the combination of the two features. This algorithm made full use of the color histogram description of the overall goal and the gradient orientation histogram description of the structural information, and predicted the position of the moving object in combination with the Kalman filtering. It resolved the problem of losing object caused by illumination and shading under complicated background. The experimental results show that the algorithm enhances the tracking accuracy while guaranteeing the real-time performance. In addition, it has stronger robustness.