Pedestrian Detection from a Moving Vehicle

Author:

Gavrila D. M.

Publisher

Springer Berlin Heidelberg

Reference18 articles.

1. H. Barrow et al. Parametric correspondence and chamfer matching: Two new techniques for image matching. In Proc. of the International Joint Conference on Artificial Intelligence, pages 659–663, 1977.

2. A. Baumberg and D. Hogg. An efficient method for contour tracking using active shape models. In Proc. of the IEEE Workshop on Motion of Non-Rigid and Articulated Objects, pages 194–199, Austin, 1994.

3. T. Cootes, C. Taylor, D. Cooper, and J. Graham. Active shape models-their training and applications. Computer Vision and Image Understanding, 61(1):38–59, 1995.

4. C. Curio, J. Edelbrunner, T. Kalinke, C. Tzomakas, C. Bruckhoff, T. Bergener, and W. von Seelen. Walking pedestrian detection and classification. In Proc. of the Deutsche Arbeitsgemeinschaft für Mustererkennung, pages 78–85, Bonn, Germany, 1999.

5. R. Cutler and L. Davis. Real-time periodic motion detection, analysis and applications. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pages 326–331, Fort Collins, U.S.A., 1999.

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