Human Shape Detection is a computational method that identifies the spatial configuration of human bodies in sensor data by distinguishing anatomical silhouette patterns from background noise and non-human objects within the broader category of human presence detection.
229
Publications
12.7K
Citations
684
Authors
281
Institutions
Publications per year
2017–2026
55
Parents
Publications
229
Human detection using depth information by Kinect
Lu Xia, Chia-Chih Chen, J.K. Aggarwal · 2011 · 509 citations
Recovering human body con .gurations:combining segmentation and recognition
Giulio Mori, Xiaofeng Ren, Alexei A. Efros et al. · 2004 · 505 citations
1–5 of 229
Authors
684
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- AJ
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- AF
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1–5 of 684
Institutions
281
University of Maryland, College Park
College Park, United States
8 h-index
17 publications
1.8K citations
Air University
Islamabad, Pakistan
5 h-index
10 publications
472 citations
Indian Institute of Technology Kanpur
Kanpur, India
5 h-index
12 publications
376 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
8 publications
563 citations
University of California, Berkeley
Berkeley, United States
4 h-index
9 publications
2.8K citations
Universidad de Zaragoza
Zaragoza, Spain
4 h-index
12 publications
385 citations
University of California, Riverside
Riverside, United States
4 h-index
8 publications
908 citations
University of Parma
Parma, Italy
4 h-index
14 publications
1.1K citations
1–8 of 281
Venues
- Pattern Recognition
5 publications · 445 citations
5
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- 2009 IEEE Conference on Computer Vision and Pattern Recognition
Conference · 4 publications · 388 citations
4
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- Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
4 publications · 263 citations
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- IEEE Access
3 publications · 83 citations
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- IEEE Transactions on Multimedia
3 publications · 81 citations
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1–5