Pregled bibliografske jedinice broj: 753021
Interpretation of divers' symbolic language by using hidden Markov models
Interpretation of divers' symbolic language by using hidden Markov models // Proceedings of 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Opatija, Hrvatska: Institute of Electrical and Electronics Engineers (IEEE), 2014. str. 976-981 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 753021 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Interpretation of divers' symbolic language by using hidden Markov models
Autori
Menix, Mario ; Mišković, Nikola ; Vukić, Zoran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
/ - : Institute of Electrical and Electronics Engineers (IEEE), 2014, 976-981
ISBN
978-953-233-081-6
Skup
37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)
Mjesto i datum
Opatija, Hrvatska, 26.05.2014. - 30.05.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
gesture recognition ; hidden Markov models ; Image processing
Sažetak
This paper reports the results of a system based on hidden Markov models (HMM) that is used to interpret both static and dynamic divers' hand signals using real time video feed. Two methods of collecting features that describe diver gestures are described and two types of HMMs are investigated: one based on discrete outputs variable distribution and the other based on mixture of Gaussians outputs variable distribution. For 8 basic diver gestures, 800 data samples were collected and the results were analyzed for the purpose of determining the most appropriate i) feature vector describing diver gestures, ii) HMM parameters (number of states and mixture components), and iii) type of the hidden Markov model. Finally, the quality of performance for recognition of each gesture is evaluated and analyzed, and necessary steps for improving the overall system are reported.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Temeljne tehničke znanosti
POVEZANOST RADA
Projekti:
036-0362975-2999 - RoboMarSec - Podvodna robotika u zaštiti podmorja i pomorskoj sigurnosti
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb