International Journal of Intelligence Science

International Journal of Intelligence Science

ISSN Print: 2163-0283
ISSN Online: 2163-0356
www.scirp.org/journal/ijis
E-mail: ijis@scirp.org
"A Fast Statistical Approach for Human Activity Recognition"
written by Samy Sadek, Ayoub Al-Hamadi, Bernd Michaelis, Usama Sayed,
published by International Journal of Intelligence Science, Vol.2 No.1, 2012
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Statistical HOG on Multi-temporal Depth Motion Maps Approach for Human Action Recognition
2019
[2] A two-layer framework for activity recognition with multi-factor activity pheromone matrix
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018), 2018
[3] Role of Spatio-Temporal Feature Position in Recognition of Human Vehicle Interaction
2018
[4] Image-based Human Fall Recognition Using Gaussian Mixture Model and Support Vector Machine
2017
[5] A Fuzzy Framework for Real-Time Gesture Spotting and Recognition
Journal of Russian Laser Research, 2017
[6] A crowdsourcing approach for personalization in human activities recognition
Intelligent Data Analysis, 2017
[7] Hand Gesture Recognition Using Optimized Local Gabor Features
Journal of Computational and Theoretical Nanoscience, 2017
[8] Appearance and motion information based human activity recognition
IET 3rd International Conference on Intelligent Signal Processing (ISP 2017), 2017
[9] Human action recognition in H. 264/AVC compressed domain using meta-cognitive radial basis function network
Applied Soft Computing, 2015
[10] Real-time human action recognition using a reduced feature set
2015
[11] Entropic image segmentation: A fuzzy approach based on tsallis entropy
2015
[12] View Invariant Human Action Recognition Using Improved Motion Descriptor
Computational Intelligence in Data Mining - Volume 3, 2015
[13] A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context
Sensors, 2014
[14] Human action recognition in compressed domain using PBL-McRBFN approach
Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on. IEEE, 2014
[15] Optimizing human action recognition based on a cooperative coevolutionary algorithm
Engineering Applications of Artificial Intelligence, Elsevier, 2014
[16] Compressed domain human action recognition in H. 264/AVC video streams
Multimedia Tools and Applications, Springer, 2014
[17] A Low-Dimensional Radial Silhouette-Based Feature for Fast Human Action Recognition Fusing Multiple Views
International Scholarly Research Notices, 2014
[18] Generalized [alpha]-Entropy Based Medical Image Segmentation
2014
[19] Vision-based recognition of human behaviour for intelligent environments
2014
[20] Rapid human action recognition in H. 264/AVC compressed domain for video surveillance
Visual Communications and Image Processing (VCIP), 2013. IEEE, 2013
[21] Dept. of Computer Science and Engg., Annamalai University, Annamalainagar, 608001, India
Computing, Communications and Networking Technologies (ICCCNT), 2013 Fourth International Conference on. IEEE, 2013
[22] Behavior recognition in surveillance video using temporal features
2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT). IEEE, 2013
[23] Generalized α-Entropy Based Medical Image Segmentation
Journal of Software Engineering and Applications, 2013
[24] Human action recognition via affine moment invariants
Pattern Recognition (ICPR), 2012 21st International Conference on. IEEE, 2012
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top