Year: 2011
Type: conference-paper
Abstract: In this paper, we introduce a large-scale activity data collection, and discuss the challenges for activity recognition with real data. We address the requirements of annotation for sequential activities and of utilizing device status, and also address research directions for unsupervised methods and complementary information.
Authors: Inoue, Sozo, 27425, 井上, 創造, 90346825, イノウエ, ソウゾウ, 9335840200, 140
Institution: Kyushu Institute of Technology
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2188304107