Fragment-based visual tracking with adaptive appearance model
A joint object was proposed which combine the target and the occluder in order to exploit the characteristics of the occluder to evolve the target template.To this end,the Gaussians mixture model（GMM） was introduced to enable an adaptive learning mechanism.Each pixel of the template is modeled using...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2011-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74419689/ |
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| _version_ | 1841537783094575104 |
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| author | ZHAO Ling FENG Bin QIU Jin-bo |
| author_facet | ZHAO Ling FENG Bin QIU Jin-bo |
| author_sort | ZHAO Ling |
| collection | DOAJ |
| description | A joint object was proposed which combine the target and the occluder in order to exploit the characteristics of the occluder to evolve the target template.To this end,the Gaussians mixture model（GMM） was introduced to enable an adaptive learning mechanism.Each pixel of the template is modeled using a GMM with three components.Once the template-matching is achieved in the current frame,the pixel value is used to update a specific component in its GMM.After that,the pixel will also be updated.Experimental results show that the proposed method is robust with respect to the partial occlusions and natural appearance changes. |
| format | Article |
| id | doaj-art-48d8ffb5716c4bf2ada4f96f36d9fa06 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2011-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-48d8ffb5716c4bf2ada4f96f36d9fa062025-01-14T08:15:32ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2011-01-013216617374419689Fragment-based visual tracking with adaptive appearance modelZHAO LingFENG BinQIU Jin-boA joint object was proposed which combine the target and the occluder in order to exploit the characteristics of the occluder to evolve the target template.To this end,the Gaussians mixture model（GMM） was introduced to enable an adaptive learning mechanism.Each pixel of the template is modeled using a GMM with three components.Once the template-matching is achieved in the current frame,the pixel value is used to update a specific component in its GMM.After that,the pixel will also be updated.Experimental results show that the proposed method is robust with respect to the partial occlusions and natural appearance changes.http://www.joconline.com.cn/zh/article/74419689/partial occlusionsGMMfragment-based template |
| spellingShingle | ZHAO Ling FENG Bin QIU Jin-bo Fragment-based visual tracking with adaptive appearance model Tongxin xuebao partial occlusions GMM fragment-based template |
| title | Fragment-based visual tracking with adaptive appearance model |
| title_full | Fragment-based visual tracking with adaptive appearance model |
| title_fullStr | Fragment-based visual tracking with adaptive appearance model |
| title_full_unstemmed | Fragment-based visual tracking with adaptive appearance model |
| title_short | Fragment-based visual tracking with adaptive appearance model |
| title_sort | fragment based visual tracking with adaptive appearance model |
| topic | partial occlusions GMM fragment-based template |
| url | http://www.joconline.com.cn/zh/article/74419689/ |
| work_keys_str_mv | AT zhaoling fragmentbasedvisualtrackingwithadaptiveappearancemodel AT fengbin fragmentbasedvisualtrackingwithadaptiveappearancemodel AT qiujinbo fragmentbasedvisualtrackingwithadaptiveappearancemodel |