Nighttime Pedestrian Detection with a Normal Camera Using SVM Classifier

Author:

Tian Qiming,Sun Hui,Luo Yupin,Hu Dongcheng

Publisher

Springer Berlin Heidelberg

Reference11 articles.

1. Grubb, G., Zelinsky, A., Nilsson, L., Rilbe, M.: 3D Vision Sensing for Improved Pedestrian Safety. In: Proceedings of IEEE Intelligent Vehicles Symposium (2004)

2. Xu, F., Fujimura, K.: Pedestrian Detection and Tracking with Night Vision. In: Proceedings of IEEE Intelligent Vehicles Symposium (2002)

3. Nanda, H., Davis, L.: Probabilistic Template Based Pedestrian Detection in Infrared Videos. In: Proceedings of IEEE Intelligent Vehicles Symposium (2002)

4. Zhao, L., Thorpe, C.: Stereo and Neural Network Based Pedestrian Detection. IEEE Transaction on Intelligent Transport SystemS 1(3), 148–154 (2000)

5. Wohler, C., Aulanf, J.K., Portner, T., Franke, U.: A Time Delay Neural Network Algorithm for Real-time Pedestrian Recognition. In: Proceedings of IEEE Intelligent Vehicles Symposium (1998)

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