目标跟踪算法在光照突变条件下的应用

为了保证光照突变条件下运动人体跟踪的正确性与持续性，提出可用于光照突变条件的目标跟踪算法。首先自动检测光照突变状态，当发生光照突变时，摄像机通过曝光补偿使光照突变前后的图像亮度保持一致。然后基于可持续跟踪Mean-Shift算法对光照突变前后的运动人体进行跟踪。实验结果表明，该算法在光照突变条件下可以对运动人体实现准确而持续的跟踪。

This paper presents a robust human tracking algorithm. As human detection and tracking are important to intelligent surveillance, it is essential to ensure that the system can adapt to any environmental changes and track the objects without interruption. This paper proposes a human tracking algorithm robust against sudden changes of illumination. Sudden illumination changes are automatically detected. The camera's exposure time is adjusted to compensate the changes. A mean shift algorithm is developed to continuously track the same object before and after the sudden change so as to achieve reliable tracking. Experiments verify effectiveness of the proposed algorithm.