Result Details
Vehicle Re-Identification Software
Created: 2019
Type
software
Language
English
Authors
Špaňhel Jakub, Ing., Ph.D., DCGM (FIT)
Bartl Vojtěch, Ing., Ph.D., DCGM (FIT)
Juránek Roman, Ing., Ph.D., DCGM (FIT)
Herout Adam, prof. Ing., Ph.D., DCGM (FIT)
Bartl Vojtěch, Ing., Ph.D., DCGM (FIT)
Juránek Roman, Ing., Ph.D., DCGM (FIT)
Herout Adam, prof. Ing., Ph.D., DCGM (FIT)
Description
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).
Keywords
vehicle re-identification; convolutional neural network; feature extraction; temporal domain
URL
License
In order to use the result by another entity, it is always necessary to acquire a license
License Fee
The licensor does not require a license fee for the result
License Conditions
For information about license conditions please contact: Research Centre of Information Technology, Faculty of Information Technology, Brno University of Technology, Božetěchova 2, 612 66 Brno, +420 541 141 472.
Projects
SMARTCarPark - Surveillance Monitoring, Analysis and Re-identification of Traffic for Enhanced Car Parking, TAČR, Program na podporu aplikovaného výzkumu a experimentálního vývoje EPSILON (2015-2025), TH03010529, start: 2018-01-01, end: 2020-12-31, completed
Research groups
Computer Graphics Research Group (RG GRAPH)
Departments