Pregled bibliografske jedinice broj: 799797
People Tracking Using Synthetically Generated Depth Maps
People Tracking Using Synthetically Generated Depth Maps // Proceedings of IEEE 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2015) / Biljanović, Petar (ur.).
Opatija, 2015. str. 739-745 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 799797 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
People Tracking Using Synthetically Generated Depth Maps
Autori
Vretenar, Luka ; Lenac, Kristijan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of IEEE 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2015)
/ Biljanović, Petar - Opatija, 2015, 739-745
ISBN
978-953-233-083-0
Skup
IEEE 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2015)
Mjesto i datum
Opatija, Hrvatska, 25.05.2015. - 29.05.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
depth map; computer vision; 3D sensors; people tracking
Sažetak
Modern 3D sensors using time-of-flight and structured light technology are increasingly being used in a number of interesting applications. One such application is people tracking where the available 3D information enables more robust human detection and tracking methods than those based on classic video cameras. A large data set is typically required both for testing and tuning the solution. We describe a methodology for efficient development of 3D applications using synthetically generated depth maps to complement the available data set obtained with real cameras. To demonstrate the effectiveness of the approach, a case study in the area of people counting with 3D sensors is presented.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
