Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition
ECCV, 2016.
EI
Abstract:
Action recognition in videos is a challenging task due to the complexity of the spatio-temporal patterns to model and the difficulty to acquire and learn on large quantities of video data. Deep learning, although a breakthrough for image classification and showing promise for videos, has still not clearly superseded action recognition met...More
Code:
Data:
Tags
Comments