基于红外智能视频检测的自适应加速检测算法
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:


An adaptive accelerated detection algorithm based on infrared intelligent video detection
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    随着人工智能技术的快速发展,智能车辆辅助驾驶系统已经逐渐走进人们的生活。基于可见光成像的智能车辆辅助驾驶系统虽然日趋成熟,但是其受限于可见光成像条件的制约,在黑暗、雨雾等条件下,使用效果可能大打折扣甚至无法使用。红外智能车辆辅助驾驶系统因成像依靠红外成像设备,使其成为解决这一问题的重要手段而受到广泛关注。但是红外智能车辅系统在一些特殊情况下,如车辆突然提速、应用场景发生较大变化等,其检测及成像实时性可能会受到影响进而导致显示画面卡顿。上述情况的出现会严重影响驾驶员判断甚至行车安全。针对上述情况本文提出了一种自适应隔帧检测算法可以在红外智能车辅系统应用过程中针对不同情况出现的检测速度波动,自主调整检测间隔帧数,以保证检测和成像的实时性。实验证明,该算法对于视频检测速度提升有效,具有一定的实用性。

    Abstract:

    With the rapid development of artificial intelligence technology,intelligent vehicle assistant driving system has gradually entered people′s life.Although the intelligent vehicle assistant driving system based on visible light imaging is becoming more and more mature,it is limited by the visible light imaging conditions.In the dark,rain and fog circumstances,the effect of utilization may be greatly reduced or even unable to use.Infrared intelligent vehicle assistant driving system is widely concerned,because it relies on infrared imaging equipment,which makes it an important means to solve this problem.However,in some special cases,such as sudden acceleration of the vehicle and great changes in the application scene,the real-time performance of the detection and imaging of the infrared intelligent vehicle auxiliary system may be affected,which may cause the display picture to jam.The above situation will seriously affect the driver′s judgment and even driving safety.In view of the above situation,this paper proposes an adaptive frame detection algorithm,which can adjust the number of detection intervals to ensure the real-time performance of detection and imaging.Experimental results show that the algorithm is effective and practical for improving the speed of video detection.

    参考文献
    相似文献
    引证文献
引用本文

祁海军,刘智嘉,赵金博,夏寅辉,高旭辉.基于红外智能视频检测的自适应加速检测算法[J].激光与红外,2020,50(10):1212~1217
QI Hai-jun,LIU Zhi-jia,ZHAO Jin-bo,XIA Yin-hui,GAO Xu-hui.An adaptive accelerated detection algorithm based on infrared intelligent video detection[J].LASER & INFRARED,2020,50(10):1212~1217

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2020-10-28
  • 出版日期: