TY - GEN
T1 - Face Detection Algorithm in Classroom Scene Based on Deep Learning
AU - Zhang, Yi
AU - Wang, Chongwen
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - With informatisation progresses in education, the application of artificial intelligence technology in education is increasing day by day. Although some breakthroughs have been made, the application in specific scenes (such as classroom scenes) faces many difficulties, such as small target detection, severe occlusion, etc. We propose a target detection algorithm based on video data for the classroom scene, which combines the optical flow information to improve the accuracy and alleviate the impact of occlusion. We also put forward the counting method suitable for classroom scenes, which can be used as the evaluation standard of attendance rate, head-up rate, and other indicators in classroom quality evaluation.
AB - With informatisation progresses in education, the application of artificial intelligence technology in education is increasing day by day. Although some breakthroughs have been made, the application in specific scenes (such as classroom scenes) faces many difficulties, such as small target detection, severe occlusion, etc. We propose a target detection algorithm based on video data for the classroom scene, which combines the optical flow information to improve the accuracy and alleviate the impact of occlusion. We also put forward the counting method suitable for classroom scenes, which can be used as the evaluation standard of attendance rate, head-up rate, and other indicators in classroom quality evaluation.
KW - Face detection
KW - Optical flow method
KW - Target detection
KW - Video analysis
UR - http://www.scopus.com/inward/record.url?scp=85148044444&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-23473-6_20
DO - 10.1007/978-3-031-23473-6_20
M3 - Conference contribution
AN - SCOPUS:85148044444
SN - 9783031234729
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 255
EP - 265
BT - Advances in Computer Graphics - 39th Computer Graphics International Conference, CGI 2022, Proceedings
A2 - Magnenat-Thalmann, Nadia
A2 - Zhang, Jian
A2 - Kim, Jinman
A2 - Papagiannakis, George
A2 - Sheng, Bin
A2 - Thalmann, Daniel
A2 - Gavrilova, Marina
PB - Springer Science and Business Media Deutschland GmbH
T2 - 39th Computer Graphics International Conference on Advances in Computer Graphics, CGI 2022
Y2 - 12 September 2022 through 16 September 2022
ER -