Data mining based on objects in video flow with dynamic background
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
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In this paper an automatic trajectory tracking method is presented 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 3D 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.