Parametric tracking across multiple cameras

This paper presents a tracking method based on parameters between colour blobs. The colour blobs are obtained from segmenting the overall target into multiple colour regions. The colour regions are segmented using EM method that determines the normal colour distributions from the overall colour pixe...

Full description

Saved in:
Bibliographic Details
Main Authors: Sebastian, P., Voon, Y.V., Comley, R.
Format: Article
Published: Universiti Putra Malaysia Press 2017
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029630884&partnerID=40&md5=398fa9c7c341271211b176797d2e1a1d
http://eprints.utp.edu.my/19841/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utp.eprints.19841
record_format eprints
spelling my.utp.eprints.198412018-04-22T13:07:27Z Parametric tracking across multiple cameras Sebastian, P. Voon, Y.V. Comley, R. This paper presents a tracking method based on parameters between colour blobs. The colour blobs are obtained from segmenting the overall target into multiple colour regions. The colour regions are segmented using EM method that determines the normal colour distributions from the overall colour pixel distribution. After segmenting into different regions on the different colour layers, parameters can be generated between colour regions of interest. In this instance, the colour regions of interest are the top and bottom colour regions. The parameters that are generated from these colour regions are the vector magnitude, vector angle and the value difference between colour regions. These parameters are used as a means for tracking targets of interest. These parameters are used for tracking the target of interest across an array of cameras which in this instance are three cameras. Three cameras have been set up with different background and foreground conditions. The summarised results of tracking targets across three cameras have shown that the consistency of colour regions across different cameras and different background settings provided sufficient parameters for targets to be tracked consistently. Example of tracking performance across three cameras were 0.88, 0.67 and 0.55. The remaining tracking performances across three cameras are shown in Table 2. The tracking performance indicate that the parameters between colour regions were able to be used for tracking a target across different cameras with different background scenarios. Based on results obtained, parameters between segmented colour regions have indicated robustness in tracking target of interest across three cameras. © 2017 Universiti Putra Malaysia Press. Universiti Putra Malaysia Press 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029630884&partnerID=40&md5=398fa9c7c341271211b176797d2e1a1d Sebastian, P. and Voon, Y.V. and Comley, R. (2017) Parametric tracking across multiple cameras. Pertanika Journal of Science and Technology, 25 (S). pp. 159-168. http://eprints.utp.edu.my/19841/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description This paper presents a tracking method based on parameters between colour blobs. The colour blobs are obtained from segmenting the overall target into multiple colour regions. The colour regions are segmented using EM method that determines the normal colour distributions from the overall colour pixel distribution. After segmenting into different regions on the different colour layers, parameters can be generated between colour regions of interest. In this instance, the colour regions of interest are the top and bottom colour regions. The parameters that are generated from these colour regions are the vector magnitude, vector angle and the value difference between colour regions. These parameters are used as a means for tracking targets of interest. These parameters are used for tracking the target of interest across an array of cameras which in this instance are three cameras. Three cameras have been set up with different background and foreground conditions. The summarised results of tracking targets across three cameras have shown that the consistency of colour regions across different cameras and different background settings provided sufficient parameters for targets to be tracked consistently. Example of tracking performance across three cameras were 0.88, 0.67 and 0.55. The remaining tracking performances across three cameras are shown in Table 2. The tracking performance indicate that the parameters between colour regions were able to be used for tracking a target across different cameras with different background scenarios. Based on results obtained, parameters between segmented colour regions have indicated robustness in tracking target of interest across three cameras. © 2017 Universiti Putra Malaysia Press.
format Article
author Sebastian, P.
Voon, Y.V.
Comley, R.
spellingShingle Sebastian, P.
Voon, Y.V.
Comley, R.
Parametric tracking across multiple cameras
author_facet Sebastian, P.
Voon, Y.V.
Comley, R.
author_sort Sebastian, P.
title Parametric tracking across multiple cameras
title_short Parametric tracking across multiple cameras
title_full Parametric tracking across multiple cameras
title_fullStr Parametric tracking across multiple cameras
title_full_unstemmed Parametric tracking across multiple cameras
title_sort parametric tracking across multiple cameras
publisher Universiti Putra Malaysia Press
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029630884&partnerID=40&md5=398fa9c7c341271211b176797d2e1a1d
http://eprints.utp.edu.my/19841/
_version_ 1738656126903255040
score 13.18916