Work

Unsupervised and Semi-supervised Methods for Human Action Analysis

Year: 2014

Type: dissertation

Abstract: Parts of this thesis have been taken from certain published academic confer-ence/journal papers. All of these papers were written primarily by me, Simon Jones, during and as a result of my Ph.D. research. These papers are listed below:

Source: White Rose eTheses Online (University of Leeds, The University of Sheffield, University of York)

Author: Simon Jones

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W1557701584

Cites: 120

Cited by: 1

Related to: 10