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Event camera is an asynchronous, high frequency vision sensor with low powerconsumption, which is suitable for human action recognition task. It is vitalto encode the spatial-temporal information of event data properly and usestandard computer vision tool to learn from the data. In this work, we proposea timestamp image encoding 2D network, which takes the encoded spatial-temporalimages of the event data as input and output the action label. Experimentresults show that our method can achieve the same level of performance as thoseRGB-based benchmarks on real world action recognition, and also achieve theSOTA result on gesture recognition.

Event-based Action Recognition Using Timestamp Image Encoding Network