Nitin S. Ujgare

Work place: Department of Information Technology, NDMVPS’s KBTCOE, Nashik, 422013, India

E-mail: nitin.ujgare@gmail.com

Website:

Research Interests: Network Security, Information Security, Computer Architecture and Organization, Computer Vision, Computational Learning Theory, Computer systems and computational processes

Biography

Mr. Nitin S. Ujgare: is from Maharshtra state, India and was born on Thursday, 5 th October 1982. He earned his Bachelors degree in Computer Technology from Dr. B. R. Ambedkar Marathwada University, Aurangabad, MH, India in July 2004. He had completed his Master degree in Computer Science and Engineering with distinction from an Autonomous Institute “Government College of Engineering, Aurangabad” Maharashtra, India in August 2011. He was lecturer in computer technology department from 12th Jan 2005 to 10th November 2010 at Government College of Engineering, Aurangabad. From November 2010 to June 2013 he was associated with Sandip Foundation’s SITRC, Nashik and People’s Education Society’s College of Engineering, Aurangabad. Since July 2013, he is working as Senior Assistant Professor at NDMVPS’s KBT College of Engineering, Nashik, India. He has more than 12 year of teaching experience and his research interest includes Computer Vision, Network Security and Machine Learning and High Performance Computing. He has published research paper entitiled “Conversion of DiCOM Image into Generalized Image Format” in International Journal of Computer Trends and Technology in March 2013. Prof Ujgare is Editorial Board member of International Journal of Computer Trends and Technology and Reviewer of International Journal of Research in Advent Technology since July 2013. He was also reviewer of Computer PG Conference 2017 of Savitribai Phule Pune University, India.

Author Articles
An Efficient Object Search in Video Using Template Matching

By Nitin S. Ujgare Swati P. Baviskar

DOI: https://doi.org/10.5815/ijigsp.2019.03.02, Pub. Date: 8 Mar. 2019

This research paper presents a novel approach for object instance search in video. At the inception, video is selected for which the object instance within the desired video is to be searched and given as an input to system. In preprocessing step, video is divided into key frames. In next step, features are extracted from query image and using template matching algorithm it is compared with key frames. If the object is present in frame then it will display detected object. Similarly, all the frames in video which contains the object are displayed. Max Path Search algorithm is used to remove the noise against classifier and Spatio-Temporal trajectories are used to improve object search. We encountered the fundamental challenge to detect an object from a set of key frames of a video with a partial appearance of object due to lighting, positioning, occlusion etc. from a known class such as logo and any other. The goal of proposed method is to detect all instances of object from known class.

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