Improvement of Auto-Tracking Mobile Robot based on HSI Color Model

Auto tracking mobile robot is a device that able to detect and track a target. For an auto tracking device, the most crucial part of the system is the object identification and tracking of the moving targets. In order to improve the accuracy of identification of object in different illumination and...

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Main Authors: Sundarajoo, Suresh, Ahmad Shahrizan, Abdul Ghani
Format: Article
Language:English
Published: Institute of Advanced Engineering and Science 2018
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/23969/
http://umpir.ump.edu.my/id/eprint/23969/
http://umpir.ump.edu.my/id/eprint/23969/
http://umpir.ump.edu.my/id/eprint/23969/1/2018%20Improvement%20of%20Auto-Tracking%20Mobile%20Robot%2015266-28154-1-PB.pdf
id ump-23969
recordtype eprints
spelling ump-239692019-01-29T03:18:41Z http://umpir.ump.edu.my/id/eprint/23969/ Improvement of Auto-Tracking Mobile Robot based on HSI Color Model Sundarajoo, Suresh Ahmad Shahrizan, Abdul Ghani Q Science (General) QC Physics TC Hydraulic engineering. Ocean engineering TD Environmental technology. Sanitary engineering TF Railroad engineering and operation TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TL Motor vehicles. Aeronautics. Astronautics TS Manufactures Auto tracking mobile robot is a device that able to detect and track a target. For an auto tracking device, the most crucial part of the system is the object identification and tracking of the moving targets. In order to improve the accuracy of identification of object in different illumination and background conditions, the implementation of HSI color model is used in image processing algorithm. In this project HSI-based color enhancement algorithm were used for object identification. This is because HSI parameter are more stable in different light and background conditions, so it is selected as the main parameters of this system. Pixy CMUcam5 is used as the vision sensor while Arduino Uno as the main microcontroller that controls all the input and output of the device. Moreover, two servo motors were used to control the pan-tilt movement of the vision sensor. Experimental results demonstrate that when HSI color-based filtering algorithm is applied to visual tracking it improves the accuracy and stability of tracking under the condition of varying brightness, or even in the low-light-level environment. Besides that, this algorithm also prevents tracking loss due to object color appears in the background. Institute of Advanced Engineering and Science 2018-12-01 Article PeerReviewed pdf en cc_by_nc_4 http://umpir.ump.edu.my/id/eprint/23969/1/2018%20Improvement%20of%20Auto-Tracking%20Mobile%20Robot%2015266-28154-1-PB.pdf Sundarajoo, Suresh and Ahmad Shahrizan, Abdul Ghani (2018) Improvement of Auto-Tracking Mobile Robot based on HSI Color Model. Indonesian Journal of Electrical Engineering and Computer Science, 12 (3). pp. 1349-1357. ISSN 2502-4752 http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1349-1357 http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1349-1357
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
topic Q Science (General)
QC Physics
TC Hydraulic engineering. Ocean engineering
TD Environmental technology. Sanitary engineering
TF Railroad engineering and operation
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TL Motor vehicles. Aeronautics. Astronautics
TS Manufactures
spellingShingle Q Science (General)
QC Physics
TC Hydraulic engineering. Ocean engineering
TD Environmental technology. Sanitary engineering
TF Railroad engineering and operation
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
TL Motor vehicles. Aeronautics. Astronautics
TS Manufactures
Sundarajoo, Suresh
Ahmad Shahrizan, Abdul Ghani
Improvement of Auto-Tracking Mobile Robot based on HSI Color Model
description Auto tracking mobile robot is a device that able to detect and track a target. For an auto tracking device, the most crucial part of the system is the object identification and tracking of the moving targets. In order to improve the accuracy of identification of object in different illumination and background conditions, the implementation of HSI color model is used in image processing algorithm. In this project HSI-based color enhancement algorithm were used for object identification. This is because HSI parameter are more stable in different light and background conditions, so it is selected as the main parameters of this system. Pixy CMUcam5 is used as the vision sensor while Arduino Uno as the main microcontroller that controls all the input and output of the device. Moreover, two servo motors were used to control the pan-tilt movement of the vision sensor. Experimental results demonstrate that when HSI color-based filtering algorithm is applied to visual tracking it improves the accuracy and stability of tracking under the condition of varying brightness, or even in the low-light-level environment. Besides that, this algorithm also prevents tracking loss due to object color appears in the background.
format Article
author Sundarajoo, Suresh
Ahmad Shahrizan, Abdul Ghani
author_facet Sundarajoo, Suresh
Ahmad Shahrizan, Abdul Ghani
author_sort Sundarajoo, Suresh
title Improvement of Auto-Tracking Mobile Robot based on HSI Color Model
title_short Improvement of Auto-Tracking Mobile Robot based on HSI Color Model
title_full Improvement of Auto-Tracking Mobile Robot based on HSI Color Model
title_fullStr Improvement of Auto-Tracking Mobile Robot based on HSI Color Model
title_full_unstemmed Improvement of Auto-Tracking Mobile Robot based on HSI Color Model
title_sort improvement of auto-tracking mobile robot based on hsi color model
publisher Institute of Advanced Engineering and Science
publishDate 2018
url http://umpir.ump.edu.my/id/eprint/23969/
http://umpir.ump.edu.my/id/eprint/23969/
http://umpir.ump.edu.my/id/eprint/23969/
http://umpir.ump.edu.my/id/eprint/23969/1/2018%20Improvement%20of%20Auto-Tracking%20Mobile%20Robot%2015266-28154-1-PB.pdf
first_indexed 2023-09-18T22:36:06Z
last_indexed 2023-09-18T22:36:06Z
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