Pregled bibliografske jedinice broj: 942788
Short-term people re-identification using image classification
Short-term people re-identification using image classification // 2016 International Conference on Smart Systems and Technologies (SST)
Osijek, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2016. str. 295-299 doi:10.1109/sst.2016.7765677 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 942788 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Short-term people re-identification using image classification
Autori
Ramakic, Adnan ; Lenac, Kristijan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2016 International Conference on Smart Systems and Technologies (SST)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2016, 295-299
Skup
2016 International Conference on Smart Systems and Technologies (SST)
Mjesto i datum
Osijek, Hrvatska, 18.10.2017. - 20.10.2017
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
image classification, people gait recognition, people recognition, people re-identification, template matching
Sažetak
This work addresses the problem of short-term people re-identification, an interesting field with applications in different domains like banks, airports, border crossings etc. For the purpose of this research, an algorithm is presented based on image classification. It is divided in three parts: building a dataset, creating a model, and real-time people re-identification. For every person in dataset, bag of features is used for image classification and features are extracted using MinEigen (Minimum Eigenvalue Algorithm) and SURF (Speeded Up Robust Features). Features are further trained using SVM (Support Vector Machine) and then exported as a model which is used for real time prediction and person recognition.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
