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http://dx.doi.org/10.9717/kmms.2012.15.8.963

3D Multiple Objects Detection and Tracking on Accurate Depth Information for Pose Recognition  

Lee, Jae-Won (전남대학교 전자컴퓨터공학과)
Jung, Jee-Hoon (LG이노텍 부품소재연구소)
Hong, Sung-Hoon (전남대학교 전자컴퓨터공학부(전남대학교 정보통신연구소))
Publication Information
Journal of Korea Multimedia Society / v.15, no.8, 2012 , pp. 963-976 More about this Journal
Abstract
'Gesture' except for voice is the most intuitive means of communication. Thus, many researches on how to control computer using gesture are in progress. User detection and tracking in these studies is one of the most important processes. Conventional 2D object detection and tracking methods are sensitive to changes in the environment or lights, and a mix of 2D and 3D information methods has the disadvantage of a lot of computational complexity. In addition, using conventional 3D information methods can not segment similar depth object. In this paper, we propose object detection and tracking method using Depth Projection Map that is the cumulative value of the depth and motion information. Simulation results show that our method is robust to changes in lighting or environment, and has faster operation speed, and can work well for detection and tracking of similar depth objects.
Keywords
Object Extraction; Object Tracking; Multiple Objects;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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