National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

All Publications

Anup Nandy

Assistant Professor Grade-I
nandya@nitrkl.ac.in

A. Nandy and P. Chakraborty,"A new paradigm of human gait analysis with kinect", in 2015 Eighth International Conference on Contemporary Computing, pp.443-448, IEEE, Jaypee Institute of Information Technology, Noida, December 2015, 10.1109/IC3.2015.7346722       Inproceedings
A. Nandy, R. Chakraborty, P. Chakraborty, and G. C. Nandi,"A novel approach to human gait recognition using possible speed invariant features", Computational Intelligence Systems, vol.7, no.6, pp.1174-1193, Taylor & Francis, September 2014, 10.1080/18756891.2014.967004       Article
A. Nandy, P. Chakraborty, and G. C. Nandi,"Person tracking and segmentation for human gait biometric system", Biometrics, vol.6, no.3, pp.205-230, Inderscience Publishers Ltd, January 2014, 10.1504/IJBM.2014.064399       Article
S. Bhowmick, A. Nandy, P. Chakraborty, and G. C. Nandi,"A speed invariant human identification system using gait biometrics", Computational Vision and Robotics, vol.4, no.1-2, pp.3-22, Inderscience Publishers, January 2014, 10.1504/IJCVR.2014.059356       Article
A. Nandy, S. Bhowmick, P. Chakraborty, and G. C. Nandi,"Gait biometrics: An approach to speed invariant human gait analysis for person identification", in Intelligent Computing, Networking, and Informatics, vol.236, pp.729-737, Springer, advances in intelligent systems and computing (aisc), February 2014, 10.1007/978-81-322-1602-5_78       Inproceedings
A. Nandy, A. Pathak, P. Chakraborty, and G. C. Nandi,"Gait identification using component based gait energy image analysis", in 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT), pp.380-385, IEEE, Govt. Engineering College Ajmer,Rajasthan,Ajmer, India, July 2014, 10.1109/ICSPCT.2014.6885005       Inproceedings
A. Nandy, S. Bhowmick, P. Chakraborty, and G. C. Nandi,"A sensor-based technique for speed invariant human gait classification", in Intelligent Computing, Networking, and Informatics, vol.243, pp.549-556, Springer, December 2013, 10.1007/978-81-322-1665-0_53       Inproceedings