Segmenting traffic scenes from grey level and motion information

被引：12

作者：

Badenas J. ^{[1
,3
,4
]}

Bober M. ^{[2
]}

Pla F. ^{[1
]}

机构：

[1] Department Informática, Universitat Jaume I, Castellón

[2] Dept. of Elec. and Electron. Eng., University of Surrey, Guildford, Surrey

[3] Department of Computer Science, Universitat Jaume I, Castellón

[4] Dept. Informática, Universitat Jaume I

来源：

Pattern Analysis & Applications | 2001年 / 4卷 / 1期

关键词：

Motion estimation; Motion segmentation; Traffic monitoring;

D O I：

10.1007/s100440170022

中图分类号：

学科分类号：

摘要：

This paper is concerned with an efficient estimation and segmentation of 2D motion from image sequences, with the focus on traffic monitoring applications. In order to reduce the computational load to achieve real-time implementation, the proposed approach makes use of simplifying assumptions that the camera is stationary, and that the projection of vehicles motion on the image plane can he approximated by translation. We show that satisfactory results can be achieved even under such apparently restrictive assumptions. The use of 2D motion analysis and the pre-segmentation stage significantly reduces the computational load, and the region-based motion estimator gives robustness to noise and changes in the illumination conditions.

引用

页码：28 / 38

页数：10

共 20 条

[1]

Waterfall R., Dickinson K., Image procesing applied to traffic, Traffic Engineering Control, 25, pp. 60-67, (1984)

[2]

Dubuisson M., Jain A., Contour extraction of moving objects in complex outdoor scenes, International Journal of Computer Vision, 14, pp. 83-105, (1995)

[3]

Gil S., Pun T., Non-linear multiresolution relaxation for alerting, Proceedings of the European Conference on Circuit Theory and Design, pp. 1639-1644, (1993)

[4]

Teal M., Ellis T., Spatial-temporal reasoning on object motion, Proceedings of the British Machine Vision Conference, pp. 465-474, (1996)

[5]

Gardner W., Lawton D., Interactive model-based vehicle tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, pp. 1115-1121, (1996)

[6]

Koller D., Daniilidis K., Nagel H., Model-based object tracking in monocular image sequences of road traffic scenes, International Journal of Computer Vision, 10, pp. 257-281, (1993)

[7]

Haag M., Nagel H.H., Tracking of complex driving manoeuvres in traffic image sequences, Image and Vision Computing, 16, pp. 517-527, (1998)

[8]

Haag M., Nagel H.H., Combination of edge element and optical flow estimates for 3D-model-based vehicle tracking in traffic image sequences, International Journal of Computer Vision, 35, 3, pp. 295-319, (1999)

[9]

Tan T., Sullivan G., Baker K., Model-based localisation and recognition of road vehicles, International Journal of Computer Vision, 27, 1, pp. 5-25, (1998)

[10]

Ferrier N., Rowe S., Blake A., Real-time traffic monitoring, Proceedings 2nd IEEE Workshop on Applications of Computer Vision, pp. 81-87, (1994)

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