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 |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167137 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | 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. |
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