Human action recognition using 3D convolutional neural networks with 3D motion cuboids in surveillance videos J Arunnehru, G Chamundeeswari, SP Bharathi Procedia computer science 133, 471-477, 2018 | 104 | 2018 |
Automatic human emotion recognition in surveillance video J Arunnehru, M Kalaiselvi Geetha Intelligent techniques in signal processing for multimedia security, 321-342, 2017 | 65 | 2017 |
Motion intensity code for action recognition in video using PCA and SVM J Arunnehru, MK Geetha Mining Intelligence and Knowledge Exploration: First International …, 2013 | 27 | 2013 |
Plant leaf diseases recognition using convolutional neural network and transfer learning J Arunnehru, BS Vidhyasagar, H Anwar Basha International Conference on Communication, Computing and Electronics Systems …, 2020 | 17 | 2020 |
Automatic activity recognition for video surveillance J Arunnehru, MK Geetha International Journal of Computer Applications 75 (9), 1-6, 2013 | 16 | 2013 |
SVM–KNN based Emotion Recognition of Human in Video using HOG Feature and KLT Tracking Algorithm R Santhoshkumar, MK Geetha, J Arunnehru International Journal of Pure and Applied Mathematics 117 (15), 621-634, 2017 | 14 | 2017 |
Behavior recognition in surveillance video using temporal features J Arunnehru, MK Geetha 2013 fourth international conference on computing, communications and …, 2013 | 13 | 2013 |
Deep learning-based real-world object detection and improved anomaly detection for surveillance videos J Arunnehru Materials Today: Proceedings 80, 2911-2916, 2023 | 11 | 2023 |
Machine vision-based human action recognition using spatio-temporal motion features (STMF) with difference intensity distance group pattern (DIDGP) J Arunnehru, S Thalapathiraj, R Dhanasekar, L Vijayaraja, R Kannadasan, ... Electronics 11 (15), 2363, 2022 | 11 | 2022 |
Synthesis approach for emotion recognition from cepstral and pitch coefficients using machine learning S Vaijayanthi, J Arunnehru International Conference on Communication, Computing and Electronics Systems …, 2021 | 10 | 2021 |
Human pose estimation and activity classification using machine learning approach J Arunnehru, AK Nandhana Davi, RR Sharan, PG Nambiar Soft Computing and Signal Processing: Proceedings of 2nd ICSCSP 2019 2, 113-123, 2020 | 8 | 2020 |
Difference intensity distance group pattern for recognizing actions in video using support vector machines J Arunnehru, M Kalaiselvi Geetha Pattern Recognition and Image Analysis 26, 688-696, 2016 | 8 | 2016 |
Traffic Engineering: An Application of MPLS L3 VPN Technology SH Sridhar, J Arunnehru 2018 2nd International Conference on Trends in Electronics and Informatics …, 2018 | 7 | 2018 |
Early prediction of brain tumor classification using convolution neural networks J Arunnehru, A Kumar, JP Verma Advances in Computational Intelligence, Security and Internet of Things …, 2020 | 5 | 2020 |
Early recognition of suspicious activity for crime prevention MK Geetha, J Arunnehru, A Geetha Computer Vision: Concepts, Methodologies, Tools, and Applications, 2139-2165, 2018 | 5 | 2018 |
A comprehensive study on early detection of Alzheimer disease using convolutional neural network DK Oommen, J Arunnehru AIP Conference Proceedings 2385 (1), 2022 | 4 | 2022 |
A vision-based on-road vehicle light detection system using support vector machines J Arunnehru, H Anwar Basha, A Kumar, R Sathya, M Kalaiselvi Geetha Integrated Intelligent Computing, Communication and Security, 117-126, 2019 | 4 | 2019 |
Vision-based human action recognition in surveillance videos using motion projection profile features J Arunnehru, MK Geetha Mining Intelligence and Knowledge Exploration: Third International …, 2015 | 4 | 2015 |
Maximum intensity block code for action recognition in video using tree-based classifiers J Arunnehru, M Kalaiselvi Geetha Artificial Intelligence and Evolutionary Algorithms in Engineering Systems …, 2015 | 4 | 2015 |
Visual Words for Human Activity Recognition in Surveillance Video S Kiruthiga, MK Geetha, J Arunnehru IOSR Journal of Computer Engineering (IOSR-JCE), 37-43, 0 | 4* | |