Deep Trajectory for Recognition of Human Behaviours

The proposed method uses a video segmentation approach to extract trajectories and then uses a convolutional neural network to learn a compact representation of the dense trajectories.

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Cite this as

Tauseef Ali, Eissa Jaber Alreshidi (2024). Dataset: Deep Trajectory for Recognition of Human Behaviours. https://doi.org/10.57702/016sgbv7

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Defined In https://doi.org/10.48550/arXiv.1905.10357
Author Tauseef Ali
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Eissa Jaber Alreshidi