DocumentCode :
3187847
Title :
People tracking using synthetically generated depth maps
Author :
Vretenar, L. ; Lenac, K.
Author_Institution :
Fac. of Eng., Univ. of Rijeka, Rijeka, Croatia
fYear :
2015
fDate :
25-29 May 2015
Firstpage :
646
Lastpage :
651
Abstract :
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 of 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.
Keywords :
object detection; object tracking; sensors; 3D information; 3D sensors; human detection method; human tracking method; people tracking; synthetically generated depth maps; Animation; Cameras; Classification algorithms; Image color analysis; Sensors; Three-dimensional displays; Tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2015 38th International Convention on
Conference_Location :
Opatija
Type :
conf
DOI :
10.1109/MIPRO.2015.7160352
Filename :
7160352
Link To Document :
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