A crowd-sourced dataset of 5,668 phone videos shot from upper-story windows improves activity classification on the VIRAT security-video benchmark by 8.3% when added to its training set.
Activitynet: A large-scale video benchmark for human activity understanding
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Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video
A crowd-sourced dataset of 5,668 phone videos shot from upper-story windows improves activity classification on the VIRAT security-video benchmark by 8.3% when added to its training set.