An object detection system based on YOLO in traffic scene

@article{Tao2017AnOD,
  title={An object detection system based on YOLO in traffic scene},
  author={Jing Tao and H. Wang and X. Zhang and X. Li and Huawei Yang},
  journal={2017 6th International Conference on Computer Science and Network Technology (ICCSNT)},
  year={2017},
  pages={315-319}
}
  • Jing Tao, H. Wang, +2 authors Huawei Yang
  • Published 2017
  • Computer Science
  • 2017 6th International Conference on Computer Science and Network Technology (ICCSNT)
We build an object detection system for images in traffic scene. [...] Key Method After that the features are extracted. Then a classifier on these proposals is executed. But the speed is slow and the accuracy is not satisfying. YOLO an excellent object detection approach based on deep learning presents a single convolutional neural network for location and classification. All the fully-connected layers of YOLO's network are replaced with an average pool layer for the purpose of reproducing a new network.Expand
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