Attire insensitive person re-identification
Person re-identification is the matching images of people across disjoint camera views in a multi-camera system. It is useful for public security applications where a watchlist of known people is provided as the target set for searching through a large volume of video surveillance footage where the...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167137 |
| _version_ | 1826119214867415040 |
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| author | Leong, Zaccheus Yu Hao |
| author2 | Alex Chichung Kot |
| author_facet | Alex Chichung Kot Leong, Zaccheus Yu Hao |
| author_sort | Leong, Zaccheus Yu Hao |
| collection | NTU |
| description | Person re-identification is the matching images of people across disjoint camera views in a multi-camera system. It is useful for public security applications where a watchlist of known people is provided as the target set for searching through a large volume of video surveillance footage where the people on the watchlist are likely to re-appear. In some events (eg., sports events) and locations (eg., central business district), many pedestrians may wear similar clothes (eg. sports uniforms, business suits). Re-identifying a person from a crowd with similar clothing, or the same person at different times in different attire, are challenging problems.
In this project, 6 datasets comprising of 3 similar-attire datasets and 2 state-of-the-art methods for attire-insensitive person re-identification were consolidated. Dataset cross-testing capabilities were implemented to evaluate the method's ability to adapt to different training and testing similar-attire datasets. Lastly, the project also carried out 2 experiments for Semantic-guided Pixel Sampling method to improve the network's accuracy. |
| first_indexed | 2024-10-01T04:56:31Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/167137 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:56:31Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1671372023-07-07T18:04:03Z Attire insensitive person re-identification Leong, Zaccheus Yu Hao Alex Chichung Kot School of Electrical and Electronic Engineering Defence Science and Technology Agency Rapid-Rich Object Search (ROSE) Lab EACKOT@ntu.edu.sg Engineering::Electrical and electronic engineering Person re-identification is the matching images of people across disjoint camera views in a multi-camera system. It is useful for public security applications where a watchlist of known people is provided as the target set for searching through a large volume of video surveillance footage where the people on the watchlist are likely to re-appear. In some events (eg., sports events) and locations (eg., central business district), many pedestrians may wear similar clothes (eg. sports uniforms, business suits). Re-identifying a person from a crowd with similar clothing, or the same person at different times in different attire, are challenging problems. In this project, 6 datasets comprising of 3 similar-attire datasets and 2 state-of-the-art methods for attire-insensitive person re-identification were consolidated. Dataset cross-testing capabilities were implemented to evaluate the method's ability to adapt to different training and testing similar-attire datasets. Lastly, the project also carried out 2 experiments for Semantic-guided Pixel Sampling method to improve the network's accuracy. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-23T08:36:39Z 2023-05-23T08:36:39Z 2023 Final Year Project (FYP) Leong, Z. Y. H. (2023). Attire insensitive person re-identification. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167137 https://hdl.handle.net/10356/167137 en application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Leong, Zaccheus Yu Hao Attire insensitive person re-identification |
| title | Attire insensitive person re-identification |
| title_full | Attire insensitive person re-identification |
| title_fullStr | Attire insensitive person re-identification |
| title_full_unstemmed | Attire insensitive person re-identification |
| title_short | Attire insensitive person re-identification |
| title_sort | attire insensitive person re identification |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/167137 |
| work_keys_str_mv | AT leongzaccheusyuhao attireinsensitivepersonreidentification |