Behavior recognition based on enhanced human pose estimation
xu zifan,
lang jun
Abstract:In public places, rapid and accurate behavior recognition helps to monitor the occurrence of dangerous events. With the rise of neural networks, many methods have been developed to handle behavior recognition problems. Unlike target recognition, behavior recognition requires not only analyzing the spatial dependencies of the target, but also analyzing the historical information of target changes. We have inherited the traditional dual stream recognition method, in order to better extract spatial and temporal f… Show more
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