Neuro-Fuzzy Based Approach on Object Tracking

Authors(1) :-Marvi Abrol

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.

Authors and Affiliations

Marvi Abrol
Department of CSE, SMVDU, Katra, Jammu & Kashmir, India

Target Tracking, Neural Network, Fuzzy Logic, Filtering Technique

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Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 140-143
Manuscript Number : CSEIT411823
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Marvi Abrol, "Neuro-Fuzzy Based Approach on Object Tracking", International 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.
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