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  Walking Pedestrian Recognition

Curio, C., Edelbrunner, J., Kalinke, T., Tzomakas, C., & von Seelen, W. (1999). Walking Pedestrian Recognition. In 1999 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems (pp. 292-297). Piscataway, NJ, USA: IEEE Service Center.

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Curio, C1, Author              
Edelbrunner , J, Author
Kalinke, T, Author
Tzomakas, C, Author
von Seelen, W, Author
Affiliations:
1External Organizations, ou_persistent22              

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 Abstract: In recent years a lot of methods providing the ability to recognize rigid obstacles-like sedans and trucks have been developed. These methods mainly provide driving relevant information to the driver. They are able to cope reliably with scenarios on motor-ways. Nevertheless, not much attention has been given to image processing approaches to increase safety of pedestrians in traffic environments. In this paper a method for detection, tracking, and final classification of pedestrians crossing the moving observer's trajectory is suggested. Herein a combination of data and model driven approaches is realized. The initial detection process is based on a texture analysis and a model-based grouping of most likely geometric features belonging to a pedestrian on intensity images. Additionally, motion patterns of limb movements are analyzed to determine initial object hypotheses. For this tracking of the quasi-rigid part of the body is performed by different trackers that have been successfully employed for tracking of sedans, trucks, motor-bikes, and pedestrians. The final classification is obtained by a temporal analysis of the walking process.

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 Dates: 1999-10
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1109/ITSC.1999.821069
BibTex Citekey: 4813
 Degree: -

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Title: 1999 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems
Place of Event: Tokyo, Japan
Start-/End Date: 1999-10-05 - 1999-10-08

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Title: 1999 IEEE/IEEJ/JSAI International Conference on Intelligent Transportation Systems
Source Genre: Proceedings
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Publ. Info: Piscataway, NJ, USA : IEEE Service Center
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 292 - 297 Identifier: ISBN: 0-7803-4975-X