Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs

Authors

  • Xiaopei Zhu Tsinghua University
  • Xiao Li Tsinghua University
  • Jianmin Li Tsinghua University
  • Zheyao Wang Tsinghua University
  • Xiaolin Hu Tsinghua University

Keywords:

Adversarial Attacks & Robustness

Abstract

Thermal infrared detection systems play an important role in many areas such as night security, autonomous driving, and body temperature detection. They have the unique advantages of passive imaging, temperature sensitivity and penetration. But the security of these systems themselves has not been fully explored, which poses risks in applying these systems. We propose a physical attack method with small bulbs on a board against the state of-the-art pedestrian detectors. Our goal is to make infrared pedestrian detectors unable to detect real-world pedestrians. Towards this goal, we first showed that it is possible to use two kinds of patches to attack the infrared pedestrian detector based on YOLOv3. The average precision (AP) dropped by 64.12% in the digital world, while a blank board with the same size caused the AP to drop by 29.69% only. After that, we designed and manufactured a physical board and successfully attacked YOLOv3 in the real world. In recorded videos, the physical board caused AP of the target detector to drop by 34.48%, while a blank board with the same size caused the AP to drop by 14.91% only. With the ensemble attack techniques, the designed physical board had good transferability to unseen detectors.

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Published

2021-05-18

How to Cite

Zhu, X., Li, X., Li, J., Wang, Z., & Hu, X. (2021). Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs. Proceedings of the AAAI Conference on Artificial Intelligence, 35(4), 3616-3624. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/16477

Issue

Section

AAAI Technical Track on Computer Vision III