A drone detection with aircraft classification based on a camera array
- 1. School of Information Science and Technology, Ocean University of China, Qingdao (China)
- 2. School of Law, Ocean University of China, Qingdao (China)
Description
In recent years, because of the rapid popularity of drones, many people have begun to operate drones, bringing a range of security issues to sensitive areas such as airports and military locus. It is one of the important ways to solve these problems by realizing fine-grained classification and providing the fast and accurate detection of different models of drone. The main challenges of fine-grained classification are that: (1) there are various types of drones, and the models are more complex and diverse. (2) the recognition test is fast and accurate, in addition, the existing methods are not efficient. In this paper, we propose a fine-grained drone detection system based on the high resolution camera array. The system can quickly and accurately recognize the detection of fine grained drone based on hd camera. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1757-899X/322/5/052005Additional details
Identifiers
Publishing Information
- Journal Title
- IOP Conference Series. Materials Science and Engineering (Online)
- Journal Volume
- 322
- Journal Issue
- 5
- Journal Page Range
- [7 p.]
- ISSN
- 1757-899X
Conference
- Title
- International Symposium on Application of Materials Science and Energy Materials
- Acronym
- SAMSE 2017
- Dates
- 28-29 Dec 2017
- Place
- Shanghai (China)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 52079237
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S47: OTHER INSTRUMENTATION;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- AIRPORTS; CAMERAS; CLASSIFICATION; DETECTION; RESOLUTION; UNMANNED AERIAL VEHICLES
- Descriptors DEC
- AIRCRAFT