Sympathy for the details: Dense trajectories and hybrid classification architectures for action recognition
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 …
temporal patterns to model and the difficulty to acquire and learn on large quantities of video …
Two‐layer discriminative model for human activity recognition
M Selmi, MA El‐Yacoubi, B Dorizzi - IET Computer Vision, 2016 - Wiley Online Library
Most of recent methods for action/activity recognition, usually based on static classifiers,
have achieved improvements by integrating context of local interest point (IP) features such …
have achieved improvements by integrating context of local interest point (IP) features such …
[图书][B] Action Recognition in Videos: Data-efficient approaches for supervised learning of human action classification models for video
CR De Souza - 2018 - ddd.uab.cat
In this dissertation, we explore different ways to perform human action recognition in video
clips. We focus on data efficiency, proposing new approaches that alleviate the need for …
clips. We focus on data efficiency, proposing new approaches that alleviate the need for …