PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection

@article{Sun2020PIDNetAE,
  title={PIDNet: An Efficient Network for Dynamic Pedestrian Intrusion Detection},
  author={Jingchen Sun and Jiming Chen and Tao Chen and Jiayuan Fan and Shibo He},
  journal={Proceedings of the 28th ACM International Conference on Multimedia},
  year={2020}
}
Vision-based dynamic pedestrian intrusion detection (PID), judging whether pedestrians intrude an area-of-interest (AoI) by a moving camera, is an important task in mobile surveillance. The dynamically changing AoIs and a number of pedestrians in video frames increase the difficulty and computational complexity of determining whether pedestrians intrude the AoI, which makes previous algorithms incapable of this task. In this paper, we propose a novel and efficient multi-task deep neural network… 

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