Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism
In the application of pedestrian reidentification, misjudgment is often caused by low video resolution, illumination variation, and background interference. In order to solve these problems, this study proposes a pedestrian reidentification algorithm based on local feature fusion. Taking advantage o...
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2022/3490919 |
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| _version_ | 1832550907620884480 |
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| author | Xiaobing Liu |
| author_facet | Xiaobing Liu |
| author_sort | Xiaobing Liu |
| collection | DOAJ |
| description | In the application of pedestrian reidentification, misjudgment is often caused by low video resolution, illumination variation, and background interference. In order to solve these problems, this study proposes a pedestrian reidentification algorithm based on local feature fusion. Taking advantage of the inherent structure of the human body, we pay attention to pedestrian parts with prominent features and ignore other parts with interference information. Feature extraction is carried out for detected pedestrian parts with significant features, and new fusion features are generated. By calculating distance measurement between image features, pedestrians are classified and recognized. Experimental results show that the accuracy of the proposed algorithm is superior to that of other comparison algorithms on the datasets of Market1501, Duke, and CUHK03. It is proved that the proposed algorithm has a good pedestrian reidentification effect. |
| format | Article |
| id | doaj-art-644c53fb59394a1c91f9b5a2ea75883f |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-644c53fb59394a1c91f9b5a2ea75883f2025-02-03T06:05:24ZengWileyJournal of Electrical and Computer Engineering2090-01552022-01-01202210.1155/2022/3490919Pedestrian Reidentification Algorithm Based on Local Feature Fusion MechanismXiaobing Liu0School of Electronics and Information EngineeringIn the application of pedestrian reidentification, misjudgment is often caused by low video resolution, illumination variation, and background interference. In order to solve these problems, this study proposes a pedestrian reidentification algorithm based on local feature fusion. Taking advantage of the inherent structure of the human body, we pay attention to pedestrian parts with prominent features and ignore other parts with interference information. Feature extraction is carried out for detected pedestrian parts with significant features, and new fusion features are generated. By calculating distance measurement between image features, pedestrians are classified and recognized. Experimental results show that the accuracy of the proposed algorithm is superior to that of other comparison algorithms on the datasets of Market1501, Duke, and CUHK03. It is proved that the proposed algorithm has a good pedestrian reidentification effect.http://dx.doi.org/10.1155/2022/3490919 |
| spellingShingle | Xiaobing Liu Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism Journal of Electrical and Computer Engineering |
| title | Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism |
| title_full | Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism |
| title_fullStr | Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism |
| title_full_unstemmed | Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism |
| title_short | Pedestrian Reidentification Algorithm Based on Local Feature Fusion Mechanism |
| title_sort | pedestrian reidentification algorithm based on local feature fusion mechanism |
| url | http://dx.doi.org/10.1155/2022/3490919 |
| work_keys_str_mv | AT xiaobingliu pedestrianreidentificationalgorithmbasedonlocalfeaturefusionmechanism |