Fast Cyclist Detection by Cascaded Detector and Geometric Constraint


In this paper we present a vision-based detection system for cyclists. We build cascaded detectors with different classifiers and shared features to detect cyclists from multiple viewpoints. To improve the performance, we reveal the dependence between the size and the position of an object in the image by a regression method. We also explore the applications of this geometric constraint with different camera setups. Based on experiments we demonstrate that our detector is suitable for real time applications.

DOI: 10.1109/ITSC.2015.211

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@article{Tian2015FastCD, title={Fast Cyclist Detection by Cascaded Detector and Geometric Constraint}, author={Wei Tian and Martin Lauer}, journal={2015 IEEE 18th International Conference on Intelligent Transportation Systems}, year={2015}, pages={1286-1291} }