基于色彩相关直方图的粒子滤波跟踪算法

Tracking Algorithm Based on Color Correlogram Using Particle Filter

提出一种基于色彩相关直方图的粒子滤波跟踪算法。该算法在粒子滤波基本框架之下,将目标色彩自相关直方图作为目标的描述特征,用于衡量不同预测状态与观测状态之间的色彩相关性。色彩相关直方图将色彩的空间相关性信息引入到目标的特征表达当中,弥补了一般色彩直方图的不足。试验表明,该算法不仅能在目标与背景颜色相近的情况下准确的跟踪到目标,而且能在目标发生旋转和部分遮挡的情况下也能保证不丢失目标。

A novel color correlogram based particle filter was proposed for an object tracking in visual surveillance. By using the color correlogram as object feature, spatial information was incorporated into object representation, which yielded a reliable likelihood description of the observation and prediction for tracking the objects accurately. The capability of the tracker to tolerate appearance changes like orientation changes, small scale changes, partial occlusions and background scene changes was demonstrated using real image sequences. Experimental evidence shows that the color correlogram is more effective than the traditional color histogram for objects tracking.