TORNADO: A Spatio-Temporal Convolutional Regression Network for Video Action Proposal

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RGB-D-based Human Motion Recognition with Deep Learning: A Survey (2017, methodology): “[179] proposed a framework that integrates the complementary spatial and temporal information into an end-to-end trainable system for video action proposal, and a novel and efficient path trimming method is proposed to handle untrimmed video by examining actionness and background score pattern witho”
A Comprehensive Survey of Vision-Based Human Action Recognition Methods (2019, background): “Human action recognition has a wide range of applications, such as intelligent video surveillance and environmental home monitoring [1,2], video storage and retrieval [3,4], intelligent human–machine interfaces [5,6], and identity recognition [7].”
Robust Lane Detection From Continuous Driving Scenes Using Deep Neural Networks (2019, background): “A different structure was presented in [60], which placed a two-stream ConvLSTM after the encoder to get spatial and temporal region proposals.”