chenjingong/DN-ReID
[CVPR2024]Day-Night Cross-domain Vehicle Re-identification
This project helps traffic intelligence and security professionals accurately identify the same vehicle across different times of day, from bright daylight to dark night conditions. It takes in collections of vehicle images, captured day and night, and outputs matching vehicle identities. This is essential for law enforcement, traffic management, and surveillance operators who need reliable vehicle tracking regardless of lighting.
No commits in the last 6 months.
Use this if you need to reliably track and identify specific vehicles from surveillance footage or image databases that include both daytime and nighttime captures.
Not ideal if your vehicle identification needs are only for consistent lighting conditions or if you are not working with image data.
Stars
55
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2
Language
Python
License
—
Category
Last pushed
Oct 28, 2024
Commits (30d)
0
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