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ACTION IDENTIFICATION METHOD BASED ON ARTIFICIAL INTELLIGENCE AND RELATED APPARATUS

机译:基于人工智能和相关装置的动作识别方法

摘要

An action identification method and apparatus based on artificial intelligence. The method comprises: determining node sequence information corresponding to video frames in video data to be identified (S201); determining action types respectively corresponding to the video frames according to the node sequence information respectively corresponding to N continuous video frames in said video data (S202); and determining which interaction action an interaction object makes according to the action types (S203). When determining an action type corresponding to a video frame, reference is made to information carried by N continuous video frames where the video frame is, or reference is made to related information of the video frame in past and/or future time, so that more effective information is introduced; even if said video data is obtained by using a non-special action identification acquisition device, relatively high action identification precision can also be achieved in a manner of determining the action types corresponding to the video frames by means of a group of continuous video frames, so that the application range and the implementation cost of an intelligent interaction scenario are reduced.
机译:一种基于人工智能的动作识别方法和装置。该方法包括:确定与要识别的视频数据中的视频帧相对应的节点序列信息(S201);根据分别对应于所述视频数据中的N连续视频帧的节点序列信息,确定分别对应于视频帧的动作类型(S202);并确定相互作用对象的交互动作根据动作类型(S203)。当确定对应于视频帧的动作类型时,将参考N连拍视频帧携带的信息,其中视频帧是过去和/或未来时间的视频帧的相关信息,因此更多介绍了有效信息;即使通过使用非特殊动作识别获取设备获得所述视频数据,也可以以通过一组连续视频帧确定与视频帧对应的动作类型的方式实现相对高的动作识别精度。因此,减少了应用范围和智能交互方案的实现成本。

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