Modeling The Detection Capability Of High-Speed Spiking Cameras

The novel working principle enables spiking cameras to capture high-speed moving objects. However, the applications of spiking cameras can be affected by many factors, such as brightness intensity, detectable distance, and the maximum speed of moving targets. Improper settings such as weak ambient b...

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Bibliographic Details
Main Authors: Zhao, Junwei, Yu, Zhaofei, Ma, Lei, Ding, Ziluo, Zhang, Shiliang, Tian, Yonghong, Huang, Tiejun
Format: Conference Proceeding
Language:English
Subjects:
Brightness
Cameras
Emerging Multimedia Applications
Neuromorphic Vision Sensing
Neuromorphics
Robot vision systems
Sensors
Signal processing
Signal processing algorithms
Spike Signal Processing
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Summary:The novel working principle enables spiking cameras to capture high-speed moving objects. However, the applications of spiking cameras can be affected by many factors, such as brightness intensity, detectable distance, and the maximum speed of moving targets. Improper settings such as weak ambient brightness and too short object-camera distance, will lead to failure in the application of such cameras. To address the issue, this paper proposes a modeling algorithm that studies the detection capability of spiking cameras. The algorithm deduces the maximum detectable speed of spiking cameras corresponding to different scenario settings (e.g., brightness intensity, camera lens, and object-camera distance) based on the basic technical parameters of cameras (e.g., pixel size, spatial and temporal resolution). Thereby, the proper camera settings for various applications can be determined. Extensive experiments verify the effectiveness of the modeling algorithm. To our best knowledge, it is the first work to investigate the detection capability of spiking cameras.
ISSN:2379-190X
DOI:10.1109/ICASSP43922.2022.9747018