Research on Human Action Recognition Based on Global and Local Mixed Features
Xueping Liu, Yibo Li
Available Online March 2014.
- https://doi.org/10.2991/mce-14.2014.175How to use a DOI?
- Action Recognition; Mixed Features; Global; Local; Cognitive Map
- In recent years, human action recognition has become a hot topic in the computer visual and pattern recognition fields, which has a wide application prospect, such as intelligent monitoring, human-computer interaction, virtual reality, content-based video retrieval and home robotics services. Although progresses have been made in the existing action recognition technology, it is still in the early stages of recognizing a minority of standard gesture and simple action experimental samples. This paper attempts to realize human action recognition through global features and local features structure variables and mixed feature descriptors reflecting the feature causal relationship, and thus improves the recognition rate of human action. This paper has certain practical significance and application values.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xueping Liu AU - Yibo Li PY - 2014/03 DA - 2014/03 TI - Research on Human Action Recognition Based on Global and Local Mixed Features BT - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14) PB - Atlantis Press SP - 778 EP - 782 SN - 1951-6851 UR - https://doi.org/10.2991/mce-14.2014.175 DO - https://doi.org/10.2991/mce-14.2014.175 ID - Liu2014/03 ER -