74 / 2023-09-01 18:43:05
Research on Real-Time Pedestrian Detection Based on Infrared-Visible Image Fusion
Multispectral Image,Image Fusion,Pedestrian Detection,Deep Learning
终稿
Ziqin Shang / China Mobile (Hangzhou) Information Technology Co., Ltd.
Baoping Cheng / China Mobile (Hangzhou) Information Technology Co., Ltd.
Xiaoyan Xie / China Mobile (Hangzhou) Information Technology Co., Ltd.
Tao Fu / China Mobile (Hangzhou) Information Technology Co., Ltd.
Zijian Wu / China Mobile (Hangzhou) Information Technology Co., Ltd.
With the advancement of AI technology and hardware, intelligent surveillance systems are becoming increasingly widespread, bringing more and more complex application scene. Pedestrian detection, as one of the tasks within such systems, faces more challenges consequently. Current pedestrian detection methods primarily rely on visible-light modality, limiting their performance and robustness. Introducing an additional modality, such as infrared, to improve performance imposes higher demands on platforms and resources. Therefore, multi-spectral image fusion emerges as a promising technique to enhance pedestrian detection. This paper proposes a pedestrian detection framework based on infrared-visible light image fusion. Additionally, three fusion methods are employed and compared against single-spectral results using existing detection model, which validate the potential for improving pedestrian detection performance.
重要日期
  • 会议日期

    11月02日

    2023

    11月04日

    2023

  • 12月15日 2023

    初稿截稿日期

  • 12月20日 2023

    注册截止日期

主办单位
IEEE Instrumentation and Measurement Society
Xidian University
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询