SS-IVM-2.2

INFANT POSTURE ASSESSMENT BASED ON ROTATIONAL KEYPOINT DETECTION

Xuyang Zhao, Shogo Takata, Kosuke Fukumori, Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan
Session:
Advances in Human Behavior Sensing and Understanding
Track:
Image, Video, and Multimedia (IVM)
Session Time:
Wed, 15 Dec, 14:40 - 16:40 Japan Standard Time (UTC +9)
Wed, 15 Dec, 05:40 - 07:40 Coordinated Universal Time
Wed, 15 Dec, 00:40 - 02:40 Eastern Standard Time (UTC -5)
Tue, 14 Dec, 21:40 - 23:40 Pacific Standard Time (UTC -8)
Session Co-Chairs:
Jianquan Liu, NEC Corporation and Shogo Muramatsu, Niigata University
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Session SS-IVM-2
WE2.LS-C.1: Deep Learning Analysis Models for Speech and Emotional Recognition
JUN WU, Tianliang Zhu, CHENGTIAN YU, CHUNZHI WANG, Hubei University of Technology, China; Xianjing Zhou, Hu Liu, Wuhan Zall Information Technology Co. , Ltd., China
WE2.LS-C.2: INFANT POSTURE ASSESSMENT BASED ON ROTATIONAL KEYPOINT DETECTION
Xuyang Zhao, Shogo Takata, Kosuke Fukumori, Toshihisa Tanaka, Tokyo University of Agriculture and Technology, Japan
WE2.LS-C.3: Text Description Generation from Videos via Deep Semantic Models
Lin Li, Kaixi Hu, Wuhan University of Technology, China
WE2.LS-C.4: VIEW－INVARIANT FEATURE USING POSE INFORMATION AND FLEXIBLE MATCHING ALGORITHM FOR ACTION RETRIEVAL
Noboru Yoshida, Jianquan Liu, NEC Corporation, Japan
WE2.LS-C.5: VIDEO-BASED SPORTS ACTIVITY RECOGNITION FOR CHILDREN
Feyisayo Olalere, Vincent Brouwers, Metehan Doyran, Ronald Poppe, Albert Ali Salah, Utrecht University, Netherlands