Scene Flow to Action Map: A New Representation for RGB-D based Action Recognition with Convolutional Neural Networks

CVPR 2017 Pichao WangWanqing LiZhimin GaoYuyao ZhangChang TangPhilip Ogunbona

Scene flow describes the motion of 3D objects in real world and potentially could be the basis of a good feature for 3D action recognition. However, its use for action recognition, especially in the context of convolutional neural networks (ConvNets), has not been previously studied... (read more)

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Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT LEADERBOARD
Hand Gesture Recognition ChaLearn val Scene Flow Accuracy 36.27 # 3

Methods used in the Paper


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