Concepedia

Excavator Detection

Excavator Detection is a machine vision task that identifies and localizes excavators within mining environments using image or video data, distinguished from other object detection tasks by its specific focus on heavy excavation machinery in complex, dynamic mining scenes.

29

Publications

2K

Citations

82

Authors

36

Institutions

Publications per year

2017–2026

20

Parents

Publications

29

Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning

Hongjo Kim, Hongjo Kim, Hyoungkwan Kim et al. · Journal of Computing in Civil Engineering · 2017 · 247 citations

, , +17

Automated excavators activity recognition and productivity analysis from construction site surveillance videos

Chen Chen, Zhenhua Zhu, Amin Hammad · Automation in Construction · 2019 · 191 citations

, , +16

Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles

Jinwoo Kim, Seokho Chi · Automation in Construction · 2019 · 164 citations

, , +17

Using Hue, Saturation, and Value Color Space for Hydraulic Excavator Idle Time Analysis

Junhao Zou, Hyoungkwan Kim · Journal of Computing in Civil Engineering · 2007 · 150 citations

, , +16

Part based model and spatial–temporal reasoning to recognize hydraulic excavators in construction images and videos

Ehsan Rezazadeh Azar, Brenda McCabe · Automation in Construction · 2012 · 145 citations · Full text

, , +16

1–5 of 29

Authors

82

  1. SC
    Seokho Chi

    Seoul National University, South Korea

    4 publications · 248 citations

    4

    h-index

  2. JK
    Jinwoo Kim

    Seoul National University, South Korea

    3 publications · 190 citations

    3

    h-index

  3. HK
    Hyoungkwan Kim

    Yonsei University, South Korea

    4 publications · 690 citations

    3

    h-index

  4. ER
    Ehsan Rezazadeh Azar

    Lakehead University, Canada

    3 publications · 313 citations

    3

    h-index

  5. AH
    Amin Hammad

    Concordia University, Canada

    2 publications · 287 citations

    2

    h-index

1–5 of 82

Institutions

36

  1. Yonsei University

    Seoul, South Korea

    4 h-index

    13 publications

    1.9K citations

  2. Seoul National University

    Seoul, South Korea

    4 h-index

    10 publications

    522 citations

  3. Concordia University

    Montreal, Canada

    2 h-index

    5 publications

    670 citations

  4. University of Toronto

    Toronto, Canada

    2 h-index

    5 publications

    674 citations

  5. The University of Melbourne

    Melbourne, Australia

    2 h-index

    2 publications

    137 citations

  6. Purdue University West Lafayette

    West Lafayette, United States

    2 h-index

    4 publications

    180 citations

  7. Monash University

    Melbourne, Australia

    2 h-index

    4 publications

    274 citations

  8. Hanyang University

    Seoul, South Korea

    2 h-index

    6 publications

    270 citations

1–8 of 36

Venues

  1. Automation in Construction

    10 publications · 865 citations

    8

    h-index

  2. Journal of Computing in Civil Engineering

    5 publications · 573 citations

    5

    h-index

  3. Neurocomputing

    1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

  5. Advanced Engineering Informatics

    1 publications · 64 citations

    1

    h-index

1–5