Human Activity Recognition from RGB Video Streams Using 1D-CNNs

2021 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/IOP/SCI)(2021)

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摘要
Human activity recognition is a challenging problem of classifying human activities based on video streams or accelerometer data. Most activity recognition methods use depth enabled data or multi-modal data to precisely predict movements. As majority of the real-world applications of activity recognition use RGB cameras, this paper aims at using RGB-only videos to classify actions. Motivated by re...
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关键词
Human Activity Recognition,Deep Learning,1D-CNN,BLSTM
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