Enhanced Image Object Recognition system using Correlation Filter based on Optimization

Authors

  • Atul Kumar Dwivedi  Department of Electronics and Telecommunication Engineering, BIT Durg, India
  • Babita Sahu  Department of Electronics and Telecommunication Engineering, BIT Durg, India

Keywords:

Optimization, Finite Impulse Response, Nelder Mead Simplex search, correlation filter.

Abstract

Object recognition refers to finding a given object in an image or video sequence based on physical properties of the object. Object recognition has been a challenging computer vision problem with various real-world applications from a very long time. In this paper we show Object recognition by correlation filtering consists in calculation of cross correlation function between an test image and noisy query image, this work aims to bring a promising perspective for using correlation filter. In order to reduced noise and perform an optimization algorithm .Based on optimization method, correlation filter has been proposed. The proposed filter has been tested to recognize an object at different noise condition. The proposed filter has been evaluated in terms of peak to side lobe ratio (PSR) and peak to correlation energy (PCE) between the query image and test image for various noise conditions

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-04-30

Issue

Volume 2, Issue 2, March-April-2017

Section

Research Articles

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Copyright (c) IJSRCSEIT

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Atul Kumar Dwivedi, Babita Sahu, " Enhanced Image Object Recognition system using Correlation Filter based on Optimization" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.895-900, March-April-2017.