Automatic Target Recognition
Automatic Target Recognition is a computational method in surveillance applications that distinguishes specific objects or entities of interest within sensor data through automated feature extraction and classification.
1.1K
Publications
42.6K
Citations
2.7K
Authors
702
Institutions
Publications per year
2017–2026
402
Variants
Atr
Parents
1.1K
Detecting non-hardhat-use by a deep learning method from far-field surveillance videos
Fang Qi, Heng Li, Xiaochun Luo et al. · Automation in Construction · 2017 · 536 citations
1–5 of 1.1K
2.7K
16
h-index
University of Electronic Science and Technology of China, China
17 publications · 920 citations
16
h-index
University of Electronic Science and Technology of China, China
14 publications · 706 citations
13
h-index
University of Electronic Science and Technology of China, China
12 publications · 712 citations
12
h-index
12
h-index
1–5 of 2.7K
702

Xidian University
Xi'an, China
30 h-index
199 publications
10.4K citations

University of Electronic Science and Technology of China
Chengdu, China
25 h-index
186 publications
8.9K citations

National University of Defense Technology
Changsha, China
25 h-index
161 publications
8.3K citations

Chinese Academy of Sciences
Beijing, China
22 h-index
116 publications
6.2K citations

United States Air Force Research Laboratory
Wright-Patterson AFB, United States
20 h-index
53 publications
2.8K citations

Beihang University
Beijing, China
18 h-index
68 publications
2K citations

Shanghai Jiao Tong University
Shanghai, China
14 h-index
48 publications
2.4K citations
MIT Lincoln Laboratory
Lexington, United States
14 h-index
38 publications
2.1K citations
1–8 of 702
48 publications · 3.5K citations
33
h-index
48 publications · 4.4K citations
30
h-index
114 publications · 3K citations
26
h-index
GRSL · 38 publications · 1.9K citations
24
h-index
32 publications · 1.4K citations
22
h-index
1–5