Literature Review of Action Recognition in the Wild

11/27/2019
by   Asket Kaur, et al.
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The literature review presented below on Action Recognition in the wild is the in-depth study of Research Papers. Action Recognition problem in the untrimmed videos is a challenging task and most of the papers have tackled this problem using hand-crafted features with shallow learning techniques and sophisticated end-to-end deep learning techniques.

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research
08/25/2016

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...
research
06/24/2019

A Comparative Review of Recent Kinect-based Action Recognition Algorithms

Video-based human action recognition is currently one of the most active...
research
06/03/2019

Mining YouTube - A dataset for learning fine-grained action concepts from webly supervised video data

Action recognition is so far mainly focusing on the problem of classific...
research
07/28/2014

A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset

This paper aims to determine which is the best human action recognition ...
research
06/17/2010

Action Recognition in Videos: from Motion Capture Labs to the Web

This paper presents a survey of human action recognition approaches base...
research
03/12/2022

Literature Review on Image Compression, Tracking, Adaptive Training and 3D Data Transmission

The literature review presented below on Image Compression, Transmission...
research
11/06/2022

Bringing Online Egocentric Action Recognition into the wild

To enable a safe and effective human-robot cooperation, it is crucial to...

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