A Recent Survey on Multilevel Hierarchical Motion Pattern Mining Approach Using Complex Dynamic Scene
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A numerous surveillance circumstances such as those involving a busy traffic scene, a busy rail station, or a shopping mall, various motions are involved. It is highly desirable to analyze the motion patterns and obtain some high-level interpretation of the semantic relations content. For example, in a video monitoring intersection, without any prior knowledge about the traffic rules in the specific scene. A multilevel hierarchical motion pattern mining useful to discover typical Color versions of one or more of the information. Two traffic scenes illustrate activities and traffic states. Arrows and show single agent, multiple agent motion patterns while arrows grouped by the same colors show interaction patterns vehicle behaviors and their dependencies involved in this scene and detect inconsistent motion for security distress motion patterns involved in a complex dynamic scene usually are of a hierarchical nature; that is, at low level, they consist of single agent motion, multiple agent patterns, which are combined at a higher level to form interaction patterns.