TY - GEN
T1 - Analyzing Children’s Behaviors Based on AI Recognition Approach to Promote Child-Friendly School-to-Home Street Design
AU - Zhang, Qianxi
AU - Wang, Gang
AU - Loo, Yat Ming
AU - Wang, Xinkai
AU - Xia, Xiumin
AU - Mu, Xingyu
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - School-to-home streets are an important part of the public space network of child-friendly cities. The improvement of their child-friendliness needs to be based on the investigation and evaluation of the current usage status. The traditional site investigation methods are limited by manpower and time, lack of efficiency and effectiveness. This paper proposes a new analysis framework for children’s street behaviors based on AI recognition methods, including action recognition algorithm, human flow statistic algorithm, and target tracking algorithm. It takes one school-to-home street in the Mingdong community, Ningbo city as a case study. Based on the AI recognition of this street’s surveillance videos, the result data verifies the effectiveness of street usage analysis. This is valuable to promote the child-friendly school-to-home street design in the future.
AB - School-to-home streets are an important part of the public space network of child-friendly cities. The improvement of their child-friendliness needs to be based on the investigation and evaluation of the current usage status. The traditional site investigation methods are limited by manpower and time, lack of efficiency and effectiveness. This paper proposes a new analysis framework for children’s street behaviors based on AI recognition methods, including action recognition algorithm, human flow statistic algorithm, and target tracking algorithm. It takes one school-to-home street in the Mingdong community, Ningbo city as a case study. Based on the AI recognition of this street’s surveillance videos, the result data verifies the effectiveness of street usage analysis. This is valuable to promote the child-friendly school-to-home street design in the future.
KW - AI recognition algorithms
KW - Child-friendly design
KW - Children’s environmental behaviors
KW - School-to-home street
KW - Surveillance videos
UR - http://www.scopus.com/inward/record.url?scp=85187797253&partnerID=8YFLogxK
U2 - 10.1007/978-981-97-0791-1_1
DO - 10.1007/978-981-97-0791-1_1
M3 - Conference contribution
AN - SCOPUS:85187797253
SN - 9789819707904
T3 - Communications in Computer and Information Science
SP - 3
EP - 13
BT - Computer Science and Education. Teaching and Curriculum - 18th International Conference, ICCSE 2023, Proceedings
A2 - Hong, Wenxing
A2 - Kanaparan, Geetha
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th International Conference on Computer Science and Education, ICCSE 2023
Y2 - 1 December 2023 through 7 December 2023
ER -
