Pixel feature-weighted scale-adaptive object tracking algorithm

An effective object tracking method using weighted pixel features was proposed to deal with all kinds of complicated tracking situations,such as target movement,rotation,background interference and scaling and so on.First,the color feature and location information of the pixels in the target area we...

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Main Authors: Hui-lan LUO, Fang-fang DU, Fan-sheng KONG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2015-10-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015259/
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author Hui-lan LUO
Fang-fang DU
Fan-sheng KONG
author_facet Hui-lan LUO
Fang-fang DU
Fan-sheng KONG
author_sort Hui-lan LUO
collection DOAJ
description An effective object tracking method using weighted pixel features was proposed to deal with all kinds of complicated tracking situations,such as target movement,rotation,background interference and scaling and so on.First,the color feature and location information of the pixels in the target area were used to build the object model.Then the average weight image was used to estimate the scale variation coefficient.The aim was to adapt to the scale changes of the target.Finally,an update model was proposed,which was able to renew the object model and background model.The experimental results show that the proposed algorithm could make full use of the differences between pixels in the target area,so it can track more quickly and more effectively with strong robustness.
format Article
id doaj-art-1e3a8d408a5742e887b208b2dd2bcd1d
institution Kabale University
issn 1000-436X
language zho
publishDate 2015-10-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-1e3a8d408a5742e887b208b2dd2bcd1d2025-01-14T06:53:57ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2015-10-013620021059696601Pixel feature-weighted scale-adaptive object tracking algorithmHui-lan LUOFang-fang DUFan-sheng KONGAn effective object tracking method using weighted pixel features was proposed to deal with all kinds of complicated tracking situations,such as target movement,rotation,background interference and scaling and so on.First,the color feature and location information of the pixels in the target area were used to build the object model.Then the average weight image was used to estimate the scale variation coefficient.The aim was to adapt to the scale changes of the target.Finally,an update model was proposed,which was able to renew the object model and background model.The experimental results show that the proposed algorithm could make full use of the differences between pixels in the target area,so it can track more quickly and more effectively with strong robustness.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015259/object trackingscale-adaptivemodel updatingpixel weighted-feature
spellingShingle Hui-lan LUO
Fang-fang DU
Fan-sheng KONG
Pixel feature-weighted scale-adaptive object tracking algorithm
Tongxin xuebao
object tracking
scale-adaptive
model updating
pixel weighted-feature
title Pixel feature-weighted scale-adaptive object tracking algorithm
title_full Pixel feature-weighted scale-adaptive object tracking algorithm
title_fullStr Pixel feature-weighted scale-adaptive object tracking algorithm
title_full_unstemmed Pixel feature-weighted scale-adaptive object tracking algorithm
title_short Pixel feature-weighted scale-adaptive object tracking algorithm
title_sort pixel feature weighted scale adaptive object tracking algorithm
topic object tracking
scale-adaptive
model updating
pixel weighted-feature
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2015259/
work_keys_str_mv AT huilanluo pixelfeatureweightedscaleadaptiveobjecttrackingalgorithm
AT fangfangdu pixelfeatureweightedscaleadaptiveobjecttrackingalgorithm
AT fanshengkong pixelfeatureweightedscaleadaptiveobjecttrackingalgorithm