A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition-Reference-Cited by-同舟云学术

A Comprehensive Review on Handcrafted and Learning-Based Action Representation Approaches for Human Activity Recognition

Published:2017-01-23 Issue:1 Volume:7 Page:110
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Sargano Allah,Angelov Plamen,Habib Zulfiqar^ORCID

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

http://www.mdpi.com/2076-3417/7/1/110/pdf

Reference199 articles.

1. Human activity analysis

2. Traditional and recent approaches in background modeling for foreground detection: An overview

3. A Review on Video-Based Human Activity Recognition

4. Human Action Recognition With Video Data: Research and Evaluation Challenges

5. A survey on vision-based human action recognition

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