Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/38301
Título: | Automatic visual detection of human behavior: a review from 2000 to 2014 |
Autor(es): | Afsar, Palwasha Cortez, Paulo Santos, Henrique |
Palavras-chave: | Data mining Human behavior Literature review Video analysis Video databases |
Data: | Out-2015 |
Editora: | Elsevier |
Revista: | Expert Systems with Applications |
Citação: | Afsar, P., Cortez, P., & Santos, H. (2015). Automatic visual detection of human behavior: A review from 2000 to 2014. Expert Systems with Applications, 42(20), 6935-6956. doi: 10.1016/j.eswa.2015.05.023 |
Resumo(s): | 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/38301 |
DOI: | 10.1016/j.eswa.2015.05.023 |
ISSN: | 0957-4174 |
Versão da editora: | The original publication is available at http://www.sciencedirect.com/science/article/pii/S0957417415003516 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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ESWA-preprint-2015.pdf | 3,15 MB | Adobe PDF | Ver/Abrir |