基于脉冲阵列图像传感器的高速高亮度目标检测

张培文; 徐江涛; 聂华峰; 高志远; 聂凯明

doi:10.1631/FITEE.2000407

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基于脉冲阵列图像传感器的高速高亮度目标检测

常规文章 | Updated：2022-04-19

- 基于脉冲阵列图像传感器的高速高亮度目标检测
  Enhanced Publication
- Motion detection for high-speed high-brightness objects based on a pulse array image sensor
- 信息与电子工程前沿(英文版) 2022年23卷第1期页码：113-122
- Affiliations：
  
  1.School of Microelectronics, Tianjin University, Tianjin300072, China
  2.Tianjin Key Laboratory of Imaging and Sensing Microelectronic Technology, Tianjin 300072, China
- Author bio：
  
  E-mail: neptune@tju.edu.cn;
  ‡Corresponding author
  E-mail: niehuafeng_ee@163.com;
  E-mail: flyuphigher@outlook.com;
  E-mail: nkaiming@tju.edu.cn
- Funds：
  
  the National Key R&D Program of China(2019YFB2204202)
- DOI：10.1631/FITEE.2000407
  中图分类号： TP301.6
- 收稿：2020-08-11，
  
  修回：2021-05-16，
  
  纸质出版：2022-01-15
- Accepted：
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张培文, 徐江涛, 聂华峰, 等. 基于脉冲阵列图像传感器的高速高亮度目标检测[J]. 信息与电子工程前沿(英文版), 2022,23(1):113-122.

ZHANG Peiwen,XU Jiangtao,NIE Huafeng,et al.Motion detection for high-speed high-brightness objects based on a pulse array image sensor[J].Frontiers of Information Technology & Electronic Engineering,2022,23(01):113-122.
张培文, 徐江涛, 聂华峰, 等. 基于脉冲阵列图像传感器的高速高亮度目标检测[J]. 信息与电子工程前沿(英文版), 2022,23(1):113-122. DOI： 10.1631/FITEE.2000407.

ZHANG Peiwen,XU Jiangtao,NIE Huafeng,et al.Motion detection for high-speed high-brightness objects based on a pulse array image sensor[J].Frontiers of Information Technology & Electronic Engineering,2022,23(01):113-122. DOI： 10.1631/FITEE.2000407.

摘要

提出一种基于脉冲阵列图像传感器（PAIS）的高速高亮目标光流提取方法。PAIS是将光信号转换成一系列脉冲间隔的仿视网膜图像传感器。通过累积连续脉冲直接从脉冲数据流中获得光流，当目标相对于背景亮度较大时，触发点可过滤冗余数据。该方法充分利用PAIS对高亮度目标快速响应特性。将该方法用于不同背景亮度高速转盘的光流提取，在传感器模型和实际拍摄数据中进行实验。在2×10

帧/秒的采样条件下拍摄转速为1000转/分的高速转盘，可以滤除90%以上冗余点。实验结果表明，基于脉冲数据的光流提取算法可在无需重构灰度图像基础上有效提取高亮目标光流信息。

Abstract

We describe a method of optical flow extraction for high-speed high-brightness targets based on a pulse array image sensor (PAIS). PAIS is a retina-like image sensor with pixels triggered by light; it can convert light into a series of pulse intervals. This method can obtain optical flow from pulse data directly by accumulating continuous pulses. The triggered points can be used to filter redundant data when the target is brighter than the background. The method takes full advantage of the rapid response of PAIS to high-brightness targets. We applied this method to extract the optical flow of high-speed turntables with different background brightness

with the sensor model and actual data

respectively. Under the sampling condition of 2×10

frames/s

the optical flow could be extracted from a high-speed turntable rotating at 1000 r/min. More than 90% of redundant points could be filtered by our method. Experimental results showed that the optical flow extraction algorithm based on pulse data can extract the optical flow information of high-brightness objects efficiently without the need to reconstruct images.

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