Visual object tracking has been a hot topic among more and more researchers in recent years.

视频目标跟踪算法近年来成为越来越多研究者关注的热点。

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Floating object tracking in the whole working space of a camera can be obtained through selecting image features, and Kalman filtering control was adopted to realize visual servo control of robot.

通过适当的选取图像特征，实现了摄像机工作空间运动目标跟踪的视觉伺服任务，并采用扩展卡尔曼滤波控制方法完成机器人视觉伺服控制。

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For a visual tracking system, the core includes two parts: one part is moving object extraction, and the other is moving object forecast and tracking.

对于视觉跟踪系统，其核心主要包括两个部分：一是运动目标提取，二是运动目标的预测与跟踪。

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