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Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System

Victor Adrian Prisacariu, Radu Timofte, Karel Zimmermann, Ian Reid, Luc Van Gool
Active Vision Laboratory, University of Oxford, United Kingdom
20th International Conference on Pattern Recognition (ICPR), 2010

@inproceedings{prisacariu2010integrating,

   title={Integrating object detection with 3D tracking towards a better driver assistance system},

   author={Prisacariu, V.A. and Timofte, R. and Zimmermann, K. and Reid, I. and Van Gool, L.},

   booktitle={2010 International Conference on Pattern Recognition},

   pages={3344–3347},

   year={2010},

   organization={IEEE}

}

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Driver assistance helps save lives. Accurate 3D pose is required to establish if a traffic sign is relevant to the driver. We propose a real-time system that integrates single view detection with region-based 3D tracking of road signs. The optimal set of candidate detections is found, followed by AdaBoost cascades and SVMs. The 2D detections are then employed in simultaneous 2D segmentation and 3D pose tracking, using the known 3D model of the recognised traffic sign. We demonstrate the abilities of our system by tracking multiple road signs in real world scenarios.
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