论文标题
使用时间戳图像编码网络基于事件的动作识别
Event-based Action Recognition Using Timestamp Image Encoding Network
论文作者
论文摘要
事件摄像机是一种异步，高频视觉传感器，具有低功耗，适合人为识别任务。正确编码事件数据的空间信息并使用标准计算机视觉工具从数据中学习。在这项工作中，我们提出了一个编码2D网络的时间戳图像，该图像将事件数据的编码时空图像作为输入并输出操作标签。实验结果表明，我们的方法可以达到与现实世界行动识别的基于RGB的基准相同的性能水平，还可以实现sota识别的SOTA结果。
Event camera is an asynchronous, high frequency vision sensor with low power consumption, which is suitable for human action recognition task. It is vital to encode the spatial-temporal information of event data properly and use standard computer vision tool to learn from the data. In this work, we propose a timestamp image encoding 2D network, which takes the encoded spatial-temporal images of the event data as input and output the action label. Experiment results show that our method can achieve the same level of performance as those RGB-based benchmarks on real world action recognition, and also achieve the SOTA result on gesture recognition.
