Detail aplikovaného výsledku

Vehicle Re-Identification Software

ŠPAŇHEL, J.; BARTL, V.; JURÁNEK, R.; HEROUT, A.

Originální název

Vehicle Re-Identification Software

Anglický název

Vehicle Re-Identification Software

Druh

Software

Abstrakt

The software implements a method for re-identification of vehicles by extracting visual flags from image data in the form of feature vectors. The feature vectors can be further compared with each other using metrics to determine the similarity of the vectors based on their mutual distance. This software can be used to identify the vehicle between individual cameras of the surveillance camera system, or between individual images from one camera, if it is not possible to obtain a continuous stream of image data from this camera).

Abstrakt aglicky

The software implements a method for re-identification of vehicles by extracting visual flags from image data in the form of feature vectors. The feature vectors can be further compared with each other using metrics to determine the similarity of the vectors based on their mutual distance. This software can be used to identify the vehicle between individual cameras of the surveillance camera system, or between individual images from one camera, if it is not possible to obtain a continuous stream of image data from this camera).

Klíčová slova

vehicle re-identification; convolutional neural network; feature extraction; temporal domain

Klíčová slova anglicky

vehicle re-identification; convolutional neural network; feature extraction; temporal domain

Umístění

https://medusa.fit.vutbr.cz/traffic/?p=580

Licenční poplatek

K využití výsledku jiným subjektem je vždy nutné nabytí licence

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