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Computational Intelligence and Neuroscience
Volume 2018 (2018), Article ID 1639561, 14 pages
https://doi.org/10.1155/2018/1639561
Research Article

Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models

Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia

Correspondence should be addressed to Nouar AlDahoul and Aznul Qalid Md Sabri

Received 18 July 2017; Revised 18 November 2017; Accepted 8 January 2018; Published 12 February 2018

Academic Editor: Marc Van Hulle

Copyright © 2018 Nouar AlDahoul et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Nouar AlDahoul, Aznul Qalid Md Sabri, and Ali Mohammed Mansoor, “Real-Time Human Detection for Aerial Captured Video Sequences via Deep Models,” Computational Intelligence and Neuroscience, vol. 2018, Article ID 1639561, 14 pages, 2018. doi:10.1155/2018/1639561