Abstract
In this work, we present ChildSafe, a classification sys- Tem which exploits human skeletal features collected us- ing a 3D depth camera to classify visual characteristics between children and adults. ChildSafe analyzes the histograms of training samples and implements a bin- boundary-based classifier. We train and evaluate Child- Safe using a large dataset of visual samples collected from 150 elementary school children and 43 adults, rang- ing in the ages of 7 and 50. Our results suggest that ChildSafe successfully detects children with a proper classification rate of up to 97%, a false negative rate of as low as 1.82%, and a low false positive rate of 1.46%. We envision this work as an effective sub-system for de- signing various child protection applications.
| Original language | English |
|---|---|
| Title of host publication | UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 343-347 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781450329682 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Event | 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 - Seattle, United States Duration: 2014 Sep 13 → 2014 Sep 17 |
Publication series
| Name | UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
|---|
Other
| Other | 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2014 |
|---|---|
| Country | United States |
| City | Seattle |
| Period | 14/9/13 → 14/9/17 |
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All Science Journal Classification (ASJC) codes
- Software
Cite this
}
Classifying children with 3D depth cameras for enabling children's safety applications. / Basaran, Can; Yoon, Hee Jung; Ra, Ho Kyung; Son, Sang Hyuk; Park, Taejoon; Ko, Jeong Gil.
UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing. Association for Computing Machinery, Inc, 2014. p. 343-347 (UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Classifying children with 3D depth cameras for enabling children's safety applications
AU - Basaran, Can
AU - Yoon, Hee Jung
AU - Ra, Ho Kyung
AU - Son, Sang Hyuk
AU - Park, Taejoon
AU - Ko, Jeong Gil
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this work, we present ChildSafe, a classification sys- Tem which exploits human skeletal features collected us- ing a 3D depth camera to classify visual characteristics between children and adults. ChildSafe analyzes the histograms of training samples and implements a bin- boundary-based classifier. We train and evaluate Child- Safe using a large dataset of visual samples collected from 150 elementary school children and 43 adults, rang- ing in the ages of 7 and 50. Our results suggest that ChildSafe successfully detects children with a proper classification rate of up to 97%, a false negative rate of as low as 1.82%, and a low false positive rate of 1.46%. We envision this work as an effective sub-system for de- signing various child protection applications.
AB - In this work, we present ChildSafe, a classification sys- Tem which exploits human skeletal features collected us- ing a 3D depth camera to classify visual characteristics between children and adults. ChildSafe analyzes the histograms of training samples and implements a bin- boundary-based classifier. We train and evaluate Child- Safe using a large dataset of visual samples collected from 150 elementary school children and 43 adults, rang- ing in the ages of 7 and 50. Our results suggest that ChildSafe successfully detects children with a proper classification rate of up to 97%, a false negative rate of as low as 1.82%, and a low false positive rate of 1.46%. We envision this work as an effective sub-system for de- signing various child protection applications.
UR - http://www.scopus.com/inward/record.url?scp=84908593692&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84908593692&partnerID=8YFLogxK
U2 - 10.1145/2632048.2636074
DO - 10.1145/2632048.2636074
M3 - Conference contribution
AN - SCOPUS:84908593692
T3 - UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
SP - 343
EP - 347
BT - UbiComp 2014 - Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PB - Association for Computing Machinery, Inc
ER -