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Pregled bibliografske jedinice broj: 834291

Zbornik radova

Autori: Guštin, Franka; Rendulić, Ivor; Mišković, Nikola; Vukić, Zoran
Naslov: Hand gesture recognition from multibeam sonar imagery
Izvornik: Proceedings of the 10th IFAC Conference on Control Applications in Marine Systems (CAMS'16) / Hassani, Vahid (ur.). - Trondheim : IFAC Proceedings Volumes (IFAC-PapersOnline) , 2016. 470-475.
ISSN: 2405-8963
Skup: 10th IFAC Conference on Control Applications in Marine Systems (CAMS'16)
Mjesto i datum: Trondheim, Norveška, 13-16.09.2016.
Ključne riječi: Multibeam sonar; gesture recognition
Sažetak:
Divers perform demanding tasks in a complex and hazardous underwater environment, which prevents them from carrying special devices that may allow them to communicate with their robotic diving buddies. In this world of natural human–robot interaction in the underwater environment, envisioned by the FP7 Cognitive Robotics project CADDY, hand detection and gesture interpretation is a prerequisite. While hand gesture recognition is most often performed with cameras (mono and stereo), their use in the underwater environment is compromised due to water turbidity and lack of sunlight at greater depths. This paper deals with this lack of performance by introducing the concept of using high resolution multibeam sonars (often referred to as acoustic cameras) for diver hand gesture recognition. In order to ensure reliable communication between the diver and the robot, it is of great importance that the classification precision is as high as possible. This paper presents results of hand gesture recognition which is performed by using two approaches: convex hull method and the support vector machine (SVM). A novel approach that fuses the two methods is introduced as a way of increasing the precision of classification. The results obtained on more than 1000 real sonar samples show that the precision using the convex hull method is around 92%, and using the SVM around 94%, while fusing the two approaches provides around 99% classification precision.
Rad je indeksiran u
bazama podataka:
Scopus
Vrsta sudjelovanja: Predavanje
Vrsta prezentacije u zborniku: Cjeloviti rad (više od 1500 riječi)
Vrsta recenzije: Međunarodna recenzija
Izvorni jezik: ENG
Kategorija: Znanstveni
Znanstvena područja:
Elektrotehnika,Temeljne tehničke znanosti
URL Internet adrese: http://www.sciencedirect.com/science/article/pii/S2405896316320389
Upisao u CROSBI: Nikola Mišković (nikola.miskovic@fer.hr), 26. Ruj. 2016. u 11:09 sati



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