Multi-species Detection

Multi-Species Detection is a camera trap monitoring method that identifies and classifies multiple animal species within image data through automated visual recognition, distinguishing itself from single-species approaches by enabling simultaneous detection across diverse taxa.

102

Publications

5.2K

Citations

523

Authors

256

Institutions

Publications per year

2017–2026

54

Authors

523

  1. JT
    Jérôme Théau

    Université de Sherbrooke, Canada

    2 publications · 133 citations

    2

    h-index

  2. ZW
    Zhen Wang

    Chinese University of Hong Kong, Hong Kong SAR China

    2 publications · 31 citations

    2

    h-index

  3. SH
    Stephen Hartley

    Victoria University of Wellington, New Zealand

    2 publications · 64 citations

    2

    h-index

  4. RW
    Robin W. Baird

    Cascadia Research Collective, United States

    2 publications · 45 citations

    2

    h-index

  5. FJ
    Frans J. M. Harren

    Radboud University Nijmegen, Netherlands

    2 publications · 116 citations

    2

    h-index

1–5 of 523

Venues

  1. PLoS ONE

    7 publications · 362 citations

    6

    h-index

  2. Applied Physics B

    4 publications · 76 citations

    4

    h-index

  3. Optics Express

    3 publications · 144 citations

    3

    h-index

  4. Methods in Ecology and Evolution

    3 publications · 286 citations

    3

    h-index

  5. Biological Conservation

    3 publications · 163 citations

    3

    h-index

1–5