The search functionality is under construction.
The search functionality is under construction.

Temporal-Based Action Clustering for Motion Tendencies

Xingyu QIAN, Xiaogang CHEN, Aximu YUEMAIER, Shunfen LI, Weibang DAI, Zhitang SONG

  • Full Text Views

    16

  • Cite this

Summary :

Video-based action recognition encompasses the recognition of appearance and the classification of action types. This work proposes a discrete-temporal-sequence-based motion tendency clustering framework to implement motion clustering by extracting motion tendencies and self-supervised learning. A published traffic intersection dataset (inD) and a self-produced gesture video set are used for evaluation and to validate the motion tendency action recognition hypothesis.

Publication
IEICE TRANSACTIONS on Information Vol.E106-D No.8 pp.1292-1295
Publication Date
2023/08/01
Publicized
2023/05/02
Online ISSN
1745-1361
DOI
10.1587/transinf.2023EDL8001
Type of Manuscript
LETTER
Category
Artificial Intelligence, Data Mining

Authors

Xingyu QIAN
  Chinese Acad Sci, Shanghai Institute of Microsystem and Information Technology,Shanghaitech University
Xiaogang CHEN
  Chinese Acad Sci, Shanghai Institute of Microsystem and Information Technology
Aximu YUEMAIER
  Chinese Acad Sci, Shanghai Institute of Microsystem and Information Technology,Shanghaitech University
Shunfen LI
  Chinese Acad Sci, Shanghai Institute of Microsystem and Information Technology
Weibang DAI
  Chinese Acad Sci, Shanghai Institute of Microsystem and Information Technology
Zhitang SONG
  Chinese Acad Sci, Shanghai Institute of Microsystem and Information Technology

Keyword