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Conference Paper

Walking Pedestrian Recognition

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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.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-E637-A
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.