A Survey of Vision-based Object Detection

被引:0
|
作者
Ge, Naiming [1 ]
Yong, Yin [1 ]
机构
[1] Dalian Maritime Univ, Minist Transportat, Key Lab Marine Simulat & Control, Dalian 116026, Peoples R China
来源
2022 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, COMPUTER VISION AND MACHINE LEARNING (ICICML) | 2022年
关键词
component; deep learning; computer vision; object detection; convolutional neural network; STEREO;
D O I
10.1109/ICICML57342.2022.10009701
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
As one of the most basic and challenging core tasks in computer vision, target detection has been a hot research field in the world. Firstly, this paper summarizes the appearance and development of obstacle perception research methods based on vision at home and abroad. And the historical development process and branches of target detection are introduced in detail. Finally, summarize the current development.
引用
收藏
页码:240 / 244
页数:5
相关论文
共 50 条
  • [11] Vision-based aerial image mosaicking algorithm with object detection
    HAN Jun
    LI Weixing
    FENG Kai
    PAN Feng
    JournalofSystemsEngineeringandElectronics, 2022, 33 (02) : 259 - 268
  • [12] Stationary Object Detection for Vision-Based Smart Monitoring System
    Wahyono
    Pulungan, Reza
    Jo, Kang-Hyun
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS, ACIIDS 2018, PT II, 2018, 10752 : 583 - 593
  • [13] A vision-based object detection and recognition system for intelligent vehicles
    Ran, B
    Liu, HX
    Martono, W
    MOBILE ROBOTS XIII AND INTELLIGENT TRANSPORTATION SYSTEMS, 1998, 3525 : 326 - 337
  • [14] Machine Vision-Based Object Detection Strategy for Weld Area
    Liu, Chenhua
    Chen, Shen
    Huang, Jiqiang
    SCIENTIFIC PROGRAMMING, 2022, 2022
  • [15] Investigation of Vision-based Underwater Object Detection with Multiple Datasets
    Rizzini, Dario Lodi
    Kallasi, Fabjan
    Oleari, Fabio
    Caselli, Stefano
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2015, 12
  • [16] Vision-based aerial image mosaicking algorithm with object detection
    Han Jun
    Li Weixing
    Feng Kai
    Pan Feng
    JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS, 2022, 33 (02) : 259 - 268
  • [17] A Survey of Vision-based Vehicle Detection and Tracking Techniques in ITS
    Liu, Yuqiang
    Tian, Bin
    Chen, Songhang
    Zhu, Fenghua
    Wang, Kunfeng
    2013 IEEE INTERNATIONAL CONFERENCE ON VEHICULAR ELECTRONICS AND SAFETY (ICVES), 2013, : 72 - 77
  • [18] Stereo vision-based object classification
    Nguyen, MC
    Graefe, V
    2000 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS 2000), VOLS 1-3, PROCEEDINGS, 2000, : 76 - 81
  • [19] Efficient deep network for vision-based object detection in robotic applications
    Lu, Keyu
    An, Xiangjing
    Li, Jian
    He, Hangen
    NEUROCOMPUTING, 2017, 245 : 31 - 45
  • [20] Vision-based object detection and tracking for autonomous navigation of underwater robots
    Lee, Donghwa
    Kim, Gonyop
    Kim, Donghoon
    Myung, Hyun
    Choi, Hyun-Taek
    OCEAN ENGINEERING, 2012, 48 : 59 - 68