Title
基于Fisher鉴别字典学习的人体行为识别 (Human Action Recognition Based on Fisher Discrimination Dictionary Learning).
Abstract
Human action recognition is a hot computer vision research field,and has broad application prospects.This paper explored the application of Fisher discrimination based dictionary learning on human action recognition.First,local spatial-temporal features are extracted from the video sequences and random projection is used to reduce dimension.Then,Fisher discrimination based dictionary learning is performed on the reduced motion features.Last,a new classification scheme is proposed using both reconstruction error and representation coefficients.Experimental results confirm the efficiency and robustness of the proposed scheme.
Year
DOI
Venue
2018
10.11896/j.issn.1002-137X.2017.07.048
计算机科学
DocType
Volume
Issue
Journal
44
7
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Chong Ji100.34
Sheng Wang2125.32
Jianfeng Lu313638.65