A survey on vision-based human action recognition

• Published in: Image and vision computing Vol. 28; no. 6; pp. 976 - 990
• Main Author: Poppe, Ronald
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01-06-2010
• Subjects: Action detection; Classification; Human; Human action recognition; Motion analysis; Recognition; Recording; Surveillance; Tasks; Visual; Human action recognition; Motion analysis; Action detection
• ISSN: 0262-8856; 1872-8138
• DOI: 10.1016/j.imavis.2009.11.014

Vision-based human action recognition is the process of labeling image sequences with action labels. Robust solutions to this problem have applications in domains such as visual surveillance, video retrieval and human–computer interaction. The task is challenging due to variations in motion performance, recording settings and inter-personal differences. In this survey, we explicitly address these challenges. We provide a detailed overview of current advances in the field. Image representations and the subsequent classification process are discussed separately to focus on the novelties of recent research. Moreover, we discuss limitations of the state of the art and outline promising directions of research.