2017
Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction
ICCV 2017poster
We present a deep-learning framework for real-time multiple spatio-temporal (S/T) action localisation and classification. Current state-of-the-art approaches work offline, and are too slow to be useful in real-world settings. To overcome their limitations we introduce two major developments. Firstly…