no code implementations • 14 Apr 2024 • Wenjing Shi, Phuong Tran, Sylvia Celedón-Pattichis, Marios S. Pattichis
The proposed dynamic participant tracking system is shown to perform exceptionally well, missing a student in just one out of 35 testing videos.
no code implementations • 17 Jan 2024 • Andrew C. Freeman, Wenjing Shi, Bin Hwang
The quality of recorded videos and images is significantly influenced by the camera's field of view (FOV).
no code implementations • 9 Mar 2022 • Wenjing Shi
The results indicate that AM-FM based methods hold great promise for analyzing human activity videos.
no code implementations • 22 Dec 2021 • Wenjing Shi, Marios S. Pattichis, Sylvia Celedón-Pattichis, Carlos LópezLeiva
We introduce the problem of detecting a group of students from classroom videos.
no code implementations • 14 Oct 2021 • Wenjing Shi, Marios S. Pattichis, Sylvia Celedón-Pattichis, Carlos LópezLeiva
Our approach uses head detection and projections of the log-magnitude of optical flow vectors to reduce the problem to a simple classification of small projection images without the need for training complex, 3-D activity classification systems.