Neuro-Fuzzy Based Approach on Object Tracking

Authors

  • Nikhil Gupta  Baba Ghulam Shah Badshah University, Rajouri, Jammu and Kashmir, India
  • Marvi Abrol  Department of CSE, SMVDU, Katra, Jammu and Kashmir, India

Keywords:

Target Tracking, Neural Network, Fuzzy Logic, Filtering Technique

Abstract

Now a days, real-time object tracking is very important for examining video and processing. There are many approaches like statistical methods and filtering techniques that can be used to track the motion of an object. In this paper, we have proposed Neuro-Fuzzy model which takes location, velocity, color, shape for tracking moving objects from video. Also, neural network is trained for extracting such features of object (location, velocity etc). Furthermore model has the ability to learn more quickly and to produce more accurate results. Fuzzy logic is also used as it provides large range of values rather than crisp data.

References

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

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Published

2018-04-25

Issue

Volume 4, Issue 1, March-April-2018

Section

Research Articles

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

How to Cite

[1]
Nikhil Gupta, Marvi Abrol, " Neuro-Fuzzy Based Approach on Object Tracking, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.140-143, March-April-2018.