Application of an incremental SVM algorithm for on-line human recognition from video surveillance using texture and color features-Reference-Cited by-同舟云学术

Application of an incremental SVM algorithm for on-line human recognition from video surveillance using texture and color features

Published:2014-02 Issue: Volume:126 Page:132-140
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Lu Yanyun,Boukharouba Khaled,Boonært Jacques,Fleury Anthony,Lecœuche Stéphane

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference29 articles.

1. People re-identification by spectral classification of silhouettes;Truong Cong;Signal Process.,2010

2. D. Roark, A. O'Toole, H. Abdi, Human recognition of familiar and unfamiliar people in naturalistic video, in: IEEE International Workshop on Analysis and Modeling of Faces and Gestures, AMFG 2003, Nice, France, 2003, pp. 36–43.

3. Gait-based human recognition by classification of cyclostationary processes on nonlinear shape manifolds;Kaziska;J. Am. Stat. Assoc.,2007

4. Feature fusion of side face and gait for video-based human identification;Zhou;Pattern Recognition,2008

5. Integrating face and gait for human recognition at a distance in video;Zhou;IEEE Trans. Syst. Man Cybern. Part B Cybern.,2007

Cited by 42 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Vision-Based Feature Extraction Techniques for Recognizing Human Gait: A Review;Proceedings of Congress on Control, Robotics, and Mechatronics;2023-11-10

2. Unsupervised open-world human action recognition;Pattern Analysis and Applications;2023-09-26

3. Machine learning algorithms in spatiotemporal gait analysis can identify patients with Parkinson’s disease;2023-07-06

4. Android Malware Detection: Feature Update Using Incremental Learning Approach: Further Investigation of UFILA;2023 25th International Conference on Advanced Communication Technology (ICACT);2023-02-19

5. Enhanced Context Learning with Transformer for Human Parsing;Applied Sciences;2022-08-04