Browse > Article

The Real-Time Height Measurement through a Geometry Information and 0bject Extraction  

Kim Jong Su (중앙대학교 첨단영상대학원 영상공학과 영상정보 연구실)
Kim Tae Yong (중앙대학교 첨단영상대학원 영상공학과 영상정보 연구실)
Choi Jong Soo (중앙대학교 첨단영상대학원 영상공학과 영상정보 연구실)
Abstract
In this paper, we propose the algorithm that automatically measures the height of the object to move on the base plane by using the geometric information. To extract a moving object from real-time images creates the background image and each pixel is modeled by the three values. The extracted region is represented by cardboard model and calculates the coordinate center in the each part. The top and bottom point of an object are extracted by the calculated coordinate center and an iterative computation. The two points, top and bottom, are used for measuring the height. Given the vanishing line of the ground plane, the vertical vanishing point, and at least one reference height in the scene; then the height of any point from the ground may be computed by specifying the image of the point and the image of the vertical intersection with the ground plane at that point. Through a confidence valuation of the height to be measured, we confirmed similar actual height and result in the simulation experiment.
Keywords
Height Measurement; Geometry Information; Object Extraction;
Citations & Related Records
연도 인용수 순위
  • Reference
1 A. Criminisi, A. Zissennan, L. Van Gool, S.Bramble, and D. Compton. 'A new approach to obtain height measurments from video', In proc. of SPIE, Boston, Messachussets, USA, volume 3576, pp.1-6, 1998
2 P.L. Rosin and T.Ellis., 'Detection and classifying intruders in image sequences', In British Machine Vision Conf, pp.293-300, 1991
3 I. Haritaoglu, D.Harwood, and L.Davis, 'Who, when, where, what: A real time system for detecting and tracking people', In Proceedings of the Third Face and Gesture Recognition Conference, pp. 222-227, 1998
4 O. Faugeras and Q. Luong 'The Geometry of Multiple Images', MIT Press, pp.196-211, 2001
5 J. Serra, 'Image Analysis and Mathematical Morphology', Academic Press, New York, vol.l 1982
6 Arunachalam Somasundaram, Rick Parent, '3D Reconstruction of walking behaviour using a single camera', Conference Abstracts and Application, Siggraph 2002, pp.137, 2002
7 T. Olson, F. Brill, 'Moving Object Detection and Event Recognition algorithms for Smart Cameras', In Proc. DARPA Image Understanding Workshop, pp. 159-176, 1997
8 R. Hartly, A. Zisserman 'Multiple view geometry in computer vision', Oxford university press, pp.205-212, 2000
9 O. Faugeras. 'Three-Dimensional Computer vision : a Geometric Viewpoint', MIT Press, 1993
10 S. Ju, M. Black, Y. Yaccob, 'Cardboard People: A Parameterized Model of Articulated Image Motion', International Conference on Face and Gesture Analysis, 1996
11 D. Leibowitz, A Criminisi, and A. Zisserman. 'Creating architectural models from images', In Proc. EuroGraphics, 1999
12 Y.H. Yang and M.D. Levine., 'The background primal sketch: An approach for tracking moving objects.', Machine Vision Applic, vol 5, pp.17-34, 1992   DOI
13 N.Otsu., 'A threshold selection method from gray-level histograms.', IEEE Trans. On Systems, Man, and Cybernetics, vol 9, pp.62-66, 1979   DOI   ScienceOn
14 Y.Z. Hsu, H.H. Nagel, and G. Rekers., 'New likelihood test methods for change detection in image sequences.', Computer Vision, Graphics and Image Processing, vol 26, pp.73-106, 1984   DOI   ScienceOn