A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient
The weight of the truth,indeterminacy,and falsity membership under the neutrosophic framework may be different when dealing with different problems.Due to this,a component weighted cosine similarity coefficient was proposed,and it was introduced into the mean shift tracking algorithm.Firstly,the cor...
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| Format: | Article |
| Language: | zho |
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Beijing Xintong Media Co., Ltd
2018-05-01
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| Series: | Dianxin kexue |
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| Online Access: | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018176/ |
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| _version_ | 1841529128946237440 |
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| author | Keli HU En FAN Jun YE Shigen SHEN Yuzhang GU |
| author_facet | Keli HU En FAN Jun YE Shigen SHEN Yuzhang GU |
| author_sort | Keli HU |
| collection | DOAJ |
| description | The weight of the truth,indeterminacy,and falsity membership under the neutrosophic framework may be different when dealing with different problems.Due to this,a component weighted cosine similarity coefficient was proposed,and it was introduced into the mean shift tracking algorithm.Firstly,the corresponding methods for calculating the membership of the truth,indeterminacy,and falsity were proposed based on the theory of 3σ,as well as the similarity between the features of the corresponding area of the object and background.Then the weighted cosine similarity coefficient was used to construct the weight vector.In addition,a weighted cosine similarity coefficient based scale updating method was proposed.The experimental results demonstrate that the modified visual tracking algorithm performs well,even when there exists challenges like similar background,illumination or scale variation. |
| format | Article |
| id | doaj-art-da1df673aeec4ee2a88e35d3870b11c0 |
| institution | Kabale University |
| issn | 1000-0801 |
| language | zho |
| publishDate | 2018-05-01 |
| publisher | Beijing Xintong Media Co., Ltd |
| record_format | Article |
| series | Dianxin kexue |
| spelling | doaj-art-da1df673aeec4ee2a88e35d3870b11c02025-01-15T03:25:18ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012018-05-0134506259801718A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficientKeli HUEn FANJun YEShigen SHENYuzhang GUThe weight of the truth,indeterminacy,and falsity membership under the neutrosophic framework may be different when dealing with different problems.Due to this,a component weighted cosine similarity coefficient was proposed,and it was introduced into the mean shift tracking algorithm.Firstly,the corresponding methods for calculating the membership of the truth,indeterminacy,and falsity were proposed based on the theory of 3σ,as well as the similarity between the features of the corresponding area of the object and background.Then the weighted cosine similarity coefficient was used to construct the weight vector.In addition,a weighted cosine similarity coefficient based scale updating method was proposed.The experimental results demonstrate that the modified visual tracking algorithm performs well,even when there exists challenges like similar background,illumination or scale variation.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018176/neutrosophic setweighted similarity coefficientobject tracking |
| spellingShingle | Keli HU En FAN Jun YE Shigen SHEN Yuzhang GU A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient Dianxin kexue neutrosophic set weighted similarity coefficient object tracking |
| title | A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient |
| title_full | A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient |
| title_fullStr | A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient |
| title_full_unstemmed | A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient |
| title_short | A scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient |
| title_sort | scale adaptive visual object tracking algorithm based on weighted neutrosophic similarity coefficient |
| topic | neutrosophic set weighted similarity coefficient object tracking |
| url | http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2018176/ |
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