本文探讨了域迁移在动作视频识别中的关键问题，特别是在监控摄像头无处不在的环境中，大量的视频数据需要进行自主理解处理。论文提出将动作视频建模为子空间中的一系列点，以解决人类行为识别的领域适应问题，并展望了连续领域适应在流媒体动作视频上的未来研究。
Abstract
The problem of Domain Shift in action videos.
Introduction
实际应用例子surveillance cameras are everywhere, be it city streets, market place, buildings or airports. A massive amount of video data that needs to be processed for autonomous understanding of events and activities occurring in the scene.
Model the action video as a sequence of points on the subspace
Conclusion
formulate the problem of domain adaptation for human action recognition; future study the concept of continuous domain adaptation on the streaming action videos
Key points: the paper写作一般；
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