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Arunnehru J
Arunnehru J
Speech and Vision Lab, Computer Science and Engineering
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Cited by
Year
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
1042018
Automatic human emotion recognition in surveillance video
J Arunnehru, M Kalaiselvi Geetha
Intelligent techniques in signal processing for multimedia security, 321-342, 2017
652017
Motion intensity code for action recognition in video using PCA and SVM
J Arunnehru, MK Geetha
Mining Intelligence and Knowledge Exploration: First International …, 2013
272013
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
172020
Automatic activity recognition for video surveillance
J Arunnehru, MK Geetha
International Journal of Computer Applications 75 (9), 1-6, 2013
162013
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
142017
Behavior recognition in surveillance video using temporal features
J Arunnehru, MK Geetha
2013 fourth international conference on computing, communications and …, 2013
132013
Deep learning-based real-world object detection and improved anomaly detection for surveillance videos
J Arunnehru
Materials Today: Proceedings 80, 2911-2916, 2023
112023
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
112022
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
102021
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
82020
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
82016
Traffic Engineering: An Application of MPLS L3 VPN Technology
SH Sridhar, J Arunnehru
2018 2nd International Conference on Trends in Electronics and Informatics …, 2018
72018
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
52020
Early recognition of suspicious activity for crime prevention
MK Geetha, J Arunnehru, A Geetha
Computer Vision: Concepts, Methodologies, Tools, and Applications, 2139-2165, 2018
52018
A comprehensive study on early detection of Alzheimer disease using convolutional neural network
DK Oommen, J Arunnehru
AIP Conference Proceedings 2385 (1), 2022
42022
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
42019
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
42015
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
42015
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*
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