Dinesh R

Work place: Department of IS&E, School of E&T, Jain University, Bangalore, Karnataka, India

E-mail: dr.dineshr@gmail.com


Research Interests: Image Processing, Image Manipulation, Pattern Recognition, Computer systems and computational processes


Dinesh R is Professor in the Department of Information Science and Engineering, School of Engineering and Technology, Jain University, Bangalore, Karnataka, India. He obtained Ph.d in Computer Science and Engineering from Mysore University. He is having 15 years of experience in software development, academics and research. He is expertise in image processing and pattern recognition research field. He had several patents for his research work. He has published research papers in the international journals and in the conference proceedings.

Author Articles
An Efficient Gait Recognition Approach for Human Identification Using Energy Blocks

By Manjunatha Guru V G Kamalesh V N Dinesh R

DOI: https://doi.org/10.5815/ijigsp.2017.07.05, Pub. Date: 8 Jul. 2017

Human gait recognition is an emerging research topic in the biometrics research field. It has recently gained a wider interest from machine vision research community because of its rich amount of merits. In this paper, a robust energy blocks based approach is proposed. For each silhouette sequence, gait energy image (GEI) is generated. Then it is split into three blocks, namely lower legs, upper-half and head. Further, Radon transform is applied to three energy blocks separately. Then, standard deviation is used to capture the variation in radial axis angle. Finally, support vector machine classifier (SVM) is effectively used for the classification procedures. The more prominent gait covariates such as multi views, backpack, carrying, least number of frames, clothing and different walking speed conditions are effectively addressed in this work by choosing sequential, even, odd and multiple’s of three numbering frames for each sequence. Extensive experiments are conducted on four considerably large, publicly available standard datasets and the promising results are obtained.

[...] Read more.
Other Articles