Robust estimation of heights of moving people using a single camera
- Authors
- Park, S.-W.; Kim, T.-E.; Choi, J.-S.
- Issue Date
- Dec-2011
- Keywords
- Height estimation; Human tracking; Position estimation; Security camera; Smart surveillance; Video surveillance
- Citation
- Lecture Notes in Electrical Engineering, v.120 LNEE, pp 389 - 405
- Pages
- 17
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 120 LNEE
- Start Page
- 389
- End Page
- 405
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/64990
- DOI
- 10.1007/978-94-007-2911-7_36
- ISSN
- 1876-1100
1876-1119
- Abstract
- In recent years, there has been increased interest in characterizing and extracting 3D information from video sequences for object tracking and identification. In this paper, we propose a single view-based framework for robust estimation of height and position. In this work, 2D features of a target object is back-projected into the 3D scene space where its coordinate system is given by a rectangular marker. Then the position and height are estimated in the 3D scene space. In addition, geometric error caused by an inaccurate projective mapping is corrected by using geometric constraints provided by the marker. The proposed framework is entirely non-iterative, and therefore is very fast. As the proposed framework uses a single camera, it can be directly embedded into conventional monocular camera-based surveillance/security systems. The accuracy and robustness of the proposed technique are verified on the experimental results of several real video sequences taken from outdoor environments.
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Collections - Graduate School of Advanced Imaging Sciences, Multimedia and Film > Department of Imaging Science and Arts > 1. Journal Articles
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