Visual Victim Detection
Visual Victim Detection is a computational method within the domain of disaster response and surveillance systems that distinguishes itself by automatically identifying human victims in distress through the analysis of visual data collected from aerial, ground-based, or robotic imaging sources.
50
Publications
2.3K
Citations
193
Authors
64
Institutions
Publications per year
2017–2026
35
Parents
50
Automated Detection of Firearms and Knives in a CCTV Image
Michał Grega, Andrzej Matiolański, Piotr Guzik et al. · Sensors · 2015 · 179 citations · Full text
A new method for violence detection in surveillance scenes
Tao Zhang, Zhijie Yang, Wenjing Jia et al. · Multimedia Tools and Applications · 2015 · 135 citations
Vision based victim detection from unmanned aerial vehicles
Mykhaylo Andriluka, Paul Schnitzspan, Joachim Meyer et al. · 2010 · 114 citations
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64

Amrita Vishwa Vidyapeetham
Coimbatore, India
3 h-index
11 publications
532 citations

University of Wrocław
Wroclaw, Poland
2 h-index
7 publications
137 citations
AGH University of Krakow
Krakow, Poland
2 h-index
6 publications
780 citations

Universitas Negeri Surabaya
Surabaya, Indonesia
2 h-index
10 publications
133 citations
Politeknik Elektronika Negeri Surabaya
Surabaya, Indonesia
2 h-index
10 publications
133 citations

UNSW Sydney
Sydney, Australia
1 h-index
2 publications
28 citations
Meisei University
Tokyo, Japan
1 h-index
3 publications
96 citations
Pôle Léonard de Vinci
Courbevoie, France
1 h-index
1 publications
35 citations
1–8 of 64
4 publications · 341 citations
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3 publications · 308 citations
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2 publications · 92 citations
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2 publications · 182 citations
2
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MESE · 1 publications · 30 citations
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