RSVP: A Real-Time Surveillance Video Parsing System with Single Frame Supervision.

MM '17: ACM Multimedia Conference Mountain View California USA October, 2017(2017)

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摘要
In this demo, we present a real-time surveillance video parsing (RSVP) system to parse surveillance videos. Surveillance video parsing, which aims to segment the video frames into several labels, e.g., face, pants, left-legs, has wide applications, especially in security filed. However, it is very tedious and time-consuming to annotate all the frames in a video. We design a RSVP system to parse the surveillance videos in real-time. The RSVP system requires only one labeled frame in training stage. The RSVP system jointly considers the segmentation of preceding frames when parsing one particular frame within the video. The RSVP system is proved to be effective and efficient in real applications.
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关键词
human parsing, deep learning, surveillance video parsing system
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