Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition

25 Aug 2016César Roberto de SouzaAdrien GaidonEleonora VigAntonio Manuel López

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 Deep learning, although a breakthrough for image classification and showing promise for videos, has still not clearly superseded action recognition methods using hand-crafted features, even when training on massive datasets... (read more)

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