Abstract: This paper presents an automatic object space trajectory tracking method in multi-position (MOTT), which combines with nodes in 3D space to structure object trajectory. The nodes are extracted frequently from two analogue cameras. A 3D orientation model is brought forward to ascertain the orientation of object centroid and predict the probabilistic location some time ahead. A space trajectory model is used to log object motion information, recognize object behavior pattern and classify object trajectories based on the concept of deputy object. The method is efficient in many domains, such as especial video guard against theft, video surveillance for objects in air, etc.

Key words: Space trajectory, MOTT method, 3DOM, STM, Object deputy

摘要： 提出了一种在多个观察点对目标空间踪迹自动跟踪的方法(MOTT)。每条踪迹由若干个空间等距的节点连接构成，而节点信息从2个相似摄像头捕捉的视频流中提取。该文构造了一个三维方位模型(3DOM)来确定目标当前的位置，并预测了运动轨迹，构造了一个空间踪迹模型(STM)，用来记录对象行为信息，识别对象行为特征，并通过代理对象分类管理这些踪迹。该方法可在视频防盗、航空视频监控等领域广泛应用。

关键词: 空间踪迹, MOTT方法, 3DOM模型, STM模型, 代理对象