Visual Object Tracking with Online Updating for Car Sharing Services
In this paper, we address the problem of online updating of visual object tracker for car sharing services. The key idea is to adjust the updating rate adaptively according to the tracking performance of the current frame. Instead of setting a fixed weight for all the frames in the updating of the o...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2021/4427945 |
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| _version_ | 1849687032512643072 |
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| author | Zhou Zhu Haifeng Zhao Fang Hui Yan Zhang |
| author_facet | Zhou Zhu Haifeng Zhao Fang Hui Yan Zhang |
| author_sort | Zhou Zhu |
| collection | DOAJ |
| description | In this paper, we address the problem of online updating of visual object tracker for car sharing services. The key idea is to adjust the updating rate adaptively according to the tracking performance of the current frame. Instead of setting a fixed weight for all the frames in the updating of the object model, we assign the current frame a larger weight if its corresponding tracking result is relatively accurate and unbroken and a smaller weight on the contrary. To implement it, the current estimated bounding box’s intersection over union (IOU) is calculated by an IOU predictor which is trained offline on a large number of image pairs and used as a guidance to adjust the updating weights online. Finally, we imbed the proposed model update strategy in a lightweight baseline tracker. Experiment results on both traffic and nontraffic datasets verify that though the error of predicted IOU is inevitable, the proposed method can still improve the accuracy of object tracking compared with the baseline object tracker. |
| format | Article |
| id | doaj-art-01fe0ed8a6c94582a8e0745541a95b95 |
| institution | DOAJ |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-01fe0ed8a6c94582a8e0745541a95b952025-08-20T03:22:27ZengWileyJournal of Advanced Transportation0197-67292042-31952021-01-01202110.1155/2021/44279454427945Visual Object Tracking with Online Updating for Car Sharing ServicesZhou Zhu0Haifeng Zhao1Fang Hui2Yan Zhang3School of Software Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaSchool of Software Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaSchool of Software Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaSchool of Software Engineering, Jinling Institute of Technology, Nanjing 211169, ChinaIn this paper, we address the problem of online updating of visual object tracker for car sharing services. The key idea is to adjust the updating rate adaptively according to the tracking performance of the current frame. Instead of setting a fixed weight for all the frames in the updating of the object model, we assign the current frame a larger weight if its corresponding tracking result is relatively accurate and unbroken and a smaller weight on the contrary. To implement it, the current estimated bounding box’s intersection over union (IOU) is calculated by an IOU predictor which is trained offline on a large number of image pairs and used as a guidance to adjust the updating weights online. Finally, we imbed the proposed model update strategy in a lightweight baseline tracker. Experiment results on both traffic and nontraffic datasets verify that though the error of predicted IOU is inevitable, the proposed method can still improve the accuracy of object tracking compared with the baseline object tracker.http://dx.doi.org/10.1155/2021/4427945 |
| spellingShingle | Zhou Zhu Haifeng Zhao Fang Hui Yan Zhang Visual Object Tracking with Online Updating for Car Sharing Services Journal of Advanced Transportation |
| title | Visual Object Tracking with Online Updating for Car Sharing Services |
| title_full | Visual Object Tracking with Online Updating for Car Sharing Services |
| title_fullStr | Visual Object Tracking with Online Updating for Car Sharing Services |
| title_full_unstemmed | Visual Object Tracking with Online Updating for Car Sharing Services |
| title_short | Visual Object Tracking with Online Updating for Car Sharing Services |
| title_sort | visual object tracking with online updating for car sharing services |
| url | http://dx.doi.org/10.1155/2021/4427945 |
| work_keys_str_mv | AT zhouzhu visualobjecttrackingwithonlineupdatingforcarsharingservices AT haifengzhao visualobjecttrackingwithonlineupdatingforcarsharingservices AT fanghui visualobjecttrackingwithonlineupdatingforcarsharingservices AT yanzhang visualobjecttrackingwithonlineupdatingforcarsharingservices |