期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 42, 期 20, 页码 6935-6956出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2015.05.023
关键词
Data mining; Human behavior; Literature review; Video analysis; Video databases
类别
资金
- Portuguese Foundation for Science and Technology (FCT - Fundacao para a Ciencia e a Tecnologia) [SFRH/BD/84939/2012]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/84939/2012] Funding Source: FCT
Due to advances in information technology (e.g., digital video cameras, ubiquitous sensors), the automatic detection of human behaviors from video is a very recent research topic. In this paper, we perform a systematic and recent literature review on this topic, from 2000 to 2014, covering a selection of 193 papers that were searched from six major scientific publishers. The selected papers were classified into three main subjects: detection techniques, datasets and applications. The detection techniques were divided into four categories (initialization, tracking, pose estimation and recognition). The list of datasets includes eight examples (e.g., Hollywood action). Finally, several application areas were identified, including human detection, abnormal activity detection, action recognition, player modeling and pedestrian detection. Our analysis provides a road map to guide future research for designing automatic visual human behavior detection systems. (C) 2015 Elsevier Ltd. All rights reserved.
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