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Proceedings Paper

Research on intelligent recognition of weak human target in land and sea
Author(s): Feng Jiang; Jin Wang; Rufei Zhang; Huibing Shao
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Paper Abstract

Great progresses have been achieved on object recognition in the wild. However, it still remains a challenging problem due to tiny objects. Likewise, post-disaster or post-war personnel search and rescue missions often encounter specific problems of complex and wide areas and weak human targets. This work proposes a weak human target recognition technique for unmanned personnel search and rescue. Firstly, referring to human visual cognitive mechanism based on visible light detection equipment, deep convolutional neural network is applied to enable the model to perceive the targets in complex background. Then a single-shot detector is designed to extract the scale adaptive depth feature to match the regions of interest. Last, a deep network model compression algorithm and an efficient online processing framework are designed to speed up and detect the targets.

Paper Details

Date Published: 31 January 2020
PDF: 6 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 1142711 (31 January 2020);
Show Author Affiliations
Feng Jiang, Beijing Institute of Control and Electronic Technology (China)
Jin Wang, Institute of Logistics Science and Technology, Academy of Military Sciences (China)
Rufei Zhang, Beijing Institute of Control and Electronic Technology (China)
Huibing Shao, Beijing Institute of Control and Electronic Technology (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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