Deploying AI Object Detection, Target Tracking, and Computational Imaging Algorithms on Embedded Processors

被引:0
|
作者
Stout, Art [1 ]
Madineni, Kedar [1 ]
机构
[1] Teledyne FLIR, 6769 Hollister Ave, Goleta, CA 93117 USA
来源
关键词
ATR; Classifier; Object Detector; Object Tracking; CNN; Neural Network; System on Chip; SoC; System on Module; SoM; AI; Computational Imaging;
D O I
10.1117/12.3014180
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The rapid advances in deep learning AI techniques for digital vision-based perception and gains in computational imaging for image quality have converged with innovations in mobile processors and device support to bring very large computing power to the edge. This convergence is creating opportunities for electro-optical systems to become intelligent at the edge and to eliminate issues with latency, compression artifacts, datalink bandwidth, thermal management, and system complexity. We describe the state of the art in embedded processors and the integration of Teledyne FLIR's Prism (TM) thermal and multispectral image signal processing and object detector and tracking libraries into today's most widely deployed embedded platforms.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] A Target Re-Identification Method Based on Shot Boundary Object Detection for Single Object Tracking
    Miao, Bingchen
    Chen, Zengzhao
    Liu, Hai
    Zhang, Aijun
    APPLIED SCIENCES-BASEL, 2023, 13 (11):
  • [32] Enhancing embedded AI-based object detection using multi-view approach
    Ning, Z.
    Rizk, M.
    Baghdadi, A.
    Diguet, J-Ph
    2022 IEEE INTERNATIONAL WORKSHOP ON RAPID SYSTEM PROTOTYPING, RSP, 2022, : 15 - 21
  • [33] Improved GSO Algorithms and Their Applications in Multi-Target Detection and Tracking Field
    Xu, Xingkui
    Hou, Qingyu
    Wu, Chunfeng
    Fan, Zhigang
    IEEE ACCESS, 2020, 8 : 119609 - 119623
  • [34] Research on infrared small target detection and tracking algorithms based on wavelet transformation
    Lu, L. (llp21@126.com), 2013, International Frequency Sensor Association, 46 Thorny Vineway, Toronto, ON M2J 4J2, Canada (156):
  • [35] Research on Camouflage Target Detection via Computational Analysis with Spectral Imaging
    Chen, Yuheng
    Zhou, Jiankang
    Chen, Xinhua
    Ji, Yiqun
    Shen, Weimin
    INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND APPLICATION ENGINEERING (CSAE), 2017, 190 : 753 - 758
  • [36] An Energy-Efficient Reconfigurable AI-Based Object Detection and Tracking Processor Supporting Online Object Learning
    Gong, Yuchuan
    Zhang, Teng
    Guo, Hongtao
    Liu, Qingsong
    Que, Luying
    Jia, Conghan
    Huang, Jiahui
    Liu, Ye
    Gan, Jiayan
    Xie, Yuxiang
    Zhou, Yong
    Liu, Lili
    Xiang, Xiaoqiang
    Chang, Liang
    Yan, Rui
    Zhou, Jun
    IEEE SOLID-STATE CIRCUITS LETTERS, 2022, 5 : 78 - 81
  • [37] DTB-Net: A Detection and Tracking Balanced Network for Fast Video Object Detection in Embedded Mobile Devices
    Huang, Fu
    Tao, Dapeng
    Wang, Linfei
    PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 1069 - 1074
  • [38] Maneuvering object detection and tracking system based on infrared polarization imaging (Invited)
    Zhang J.
    Qiao X.
    Zhao Y.
    Hongwai yu Jiguang Gongcheng/Infrared and Laser Engineering, 2022, 51 (04):
  • [39] Underwater Object Localization and Detection of Square Shaped Target using Edge AI in Video Streams
    Aravind, Jinka Venkata
    Prince, Shanthi
    OCEANS 2024 - SINGAPORE, 2024,
  • [40] Real time object detection and tracking using the Kalman Filter embedded in single board in a robot
    Guapacha, Jovanny Bedoya
    Amaro Mantovanni, Suely Cunha
    2017 CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON), 2017,