改进的Camshift跟踪算法研究

The Research of Improved Object Tracking Algorithm Based on Camshift

Camshift是使用颜色直方图作为特征的一种跟踪算法。它利用目标的颜色直方图模型得到每帧图像的颜色投影图,初始化一个搜索窗的大小和位置,并根据上一帧得到的结果自适应调整搜索窗口的位置和大小,定位出当前图像中目标的中心位置。从准确预测目标位置及缩小目标搜索范围入手对Camshift算法进行了改进。实验结果表明,改进的Camshift有效地克服了Cam-shift算法自身的缺陷,即使在图像背景复杂且不规则的情形下,仍然能有效的跟踪到目标。

Camshift is a tracking algorithm based on color histogram.It operates on a back-projection image produced from object histogram model.Initialize a search window size and location.Computer information is used previously to adjust current search window size and location,then location center of the object in the current image.The tracking speed is raised by virtue of predicting the position that a moving object arrives at the next time and reducing the search region.The experimental results are given to show that the proposed algorithm can improve object tracking speed even if complex background and irregular motion.