Detection and Tracking Multiple Pedestrians from a Moving Camera

Author:

Lim Jong Seok,Kim Wook Hyun

Publisher

Springer Berlin Heidelberg

Reference9 articles.

1. Franke, U., Gavrila, D., Goerzig, S.: Autonomous Driving Approaches Downtown to Appear. IEEE Expert (1997)

2. Wohler, C., Aulaf, J.K., Portner, T., Franke, U.: A Time Delay Neural Network Algorithm for Real-time Pedestrian Detection. In: Proc. of the IEEE Intelligent Vehicles Symposium 1998, Stuttgart, Germany, pp. 247–251 (1998)

3. Inoue, H., Tachikawa, T., Inaba, M.: Robot Vision System with a Correlation Chip for Real-time Tracking, Optical Flow and Depth Map Generation. In: Proc. of the IEEE International Conf. on Robotics and Automation, pp. 1621–1626 (1992)

4. Yamamoto, S., Mae, Y., Shirai, Y.: Real-time Multiple Object Tracking based on Optical Flows. In: Proc. of the Robotics and Automation, vol. 3, pp. 2328–2333 (1995)

5. Broggi, A., Bertozzi, M., Fascioli, A.: Shape-based Pedestrian Detection. In: Proc. of the IEEE Intelligent Vehicles Symposium 2000, pp. 215–220 (2000)

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