Kalaiselvi Geetha. M
Kalaiselvi Geetha. M
Professor of Computer Science, Annamalai University
Verified email at annamalaiuniversity.ac.in
Cited by
Cited by
Internet of Things: novel advances and envisioned applications
DP Acharjya, MK Geetha, S Sanyal
Springer, 2017
Automatic human emotion recognition in surveillance video
J Arunnehru, MK Geetha
Intelligent Techniques in Signal Processing for Multimedia Security, 321-342, 2017
Texture based emotion recognition from facial expressions using support vector machine
A Punitha, MK Geetha
Int. J. Comput. Appl 80 (5), 1-5, 2013
A novel block intensity comparison code for video classification and retrieval
MK Geetha, S Palanivel, V Ramalingam
Expert Systems with Applications 36 (3), 6415-6420, 2009
HMM based real time facial expression recognition
A Punitha, MK Geetha
International Journal of Emerging Technology and Advanced Engineering 3 (1 …, 2013
Motion intensity code for action recognition in video using PCA and SVM
J Arunnehru, MK Geetha
Mining Intelligence and Knowledge Exploration, 70-81, 2013
Automatic activity recognition for video surveillance
J Arunnehru, MK Geetha
International Journal of Computer Applications 75 (9), 2013
Driver fatigue monitoring system based on eye state analysis
A Punitha, MK Geetha, A Sivaprakash
2014 International Conference on Circuits, Power and Computing Technologies …, 2014
Video classification and shot detection for video retrieval applications
M Kalaiselvi Geetha, S Palanivel
International Journal of Computational Intelligence Systems 2 (1), 39-50, 2009
Traffic density estimation, vehicle classification and stopped vehicle detection for traffic surveillance system using predefined traffic videos
P Rajesh, MK Geetha, R Ramu
Elixir Comp Sci. & Engg. 56, 13671-13676, 2013
Occlusion and abandoned object detection for surveillance applications
M Chitra, MK Geetha, L Menaka
Int J Comput Appl Technol Res 2 (6), 708, 2013
Behavior recognition in surveillance video using temporal features
J Arunnehru, MK Geetha
2013 Fourth International Conference on Computing, Communications and …, 2013
Automatic Tumor Classification of Brain MRI Images
V Vani, MK Geetha
International Journal of Computer Sciences and Engineering 4 (10), 144-151, 2016
Segregated handwritten character recognition using GLCM features
VC Bharathi, MK Geetha
International Journal of Computer Applications 84 (2), 2013
Computer-aided fracture detection of x-ray images
R Aishwariya, MK Geetha, M Archana
IOSR Journal of Computer Engineering, 2278-2661, 2013
SVM–KNN based Emotion Recognition of Human in Video using HOG Feature and KLT Tracking Algorithm
R Santhoshkumar, MK Geetha, J Arunnehru
Int. J. Pure Appl. Math 117 (15), 621-634, 2017
An efficient ball and player detection in broadcast tennis video
M Archana, MK Geetha
Intelligent Systems Technologies and Applications, 427-436, 2016
Driver eye state detection based on Minimum Intensity Projection using Tree Based Classifiers
A Punitha, MK Geetha
Intelligent Systems Technologies and Applications, 103-111, 2016
Driver eye state detection using minimum intensity projection-An application to driver fatigue alertness
A Punitha, MK Geetha
Indian Journal of Science and Technology 8 (17), 1, 2015
Deep Learning Approach for Emotion Recognition from Human Body Movements with Feedforward Deep Convolution Neural Networks
R Santhoshkumar, MK Geetha
Procedia Computer Science 152, 158-165, 2019
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