Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos

@article{Ke2017RealTimeBT,
  title={Real-Time Bidirectional Traffic Flow Parameter Estimation From Aerial Videos},
  author={Ruimin Ke and Zhibin Li and Joon Hyung Kim and John Ash and Zhiyong Cui and Yinhai Wang},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2017},
  volume={18},
  pages={890-901}
}
Unmanned aerial vehicles (UAVs) are gaining popularity in traffic monitoring due to their low cost, high flexibility, and wide view range. Traffic flow parameters such as speed, density, and volume extracted from UAV-based traffic videos are critical for traffic state estimation and traffic control and have recently received much attention from researchers. However, different from stationary surveillance videos, the camera platforms move with UAVs, and the background motion in aerial videos… CONTINUE READING

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