Low, slow, small target recognition based on spatial vision network

Zhao Cheng; Pei Guo; Xin Qi

doi:10.1117/12.2287145

8 March 2018 Low, slow, small target recognition based on spatial vision network

Zhao Cheng, Pei Guo, Xin Qi

Proceedings Volume 10609, MIPPR 2017: Pattern Recognition and Computer Vision; 106091I (2018) https://doi.org/10.1117/12.2287145
Event: Tenth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2017), 2017, Xiangyang, China

Abstract

Traditional photoelectric monitoring is monitored using a large number of identical cameras. In order to ensure the full coverage of the monitoring area, this monitoring method uses more cameras, which leads to more monitoring and repetition areas, and higher costs, resulting in more waste. In order to reduce the monitoring cost and solve the difficult problem of finding, identifying and tracking a low altitude, slow speed and small target, this paper presents spatial vision network for low-slow-small targets recognition. Based on camera imaging principle and monitoring model, spatial vision network is modeled and optimized. Simulation experiment results demonstrate that the proposed method has good performance.

Citation Download Citation

Zhao Cheng, Pei Guo, and Xin Qi "Low, slow, small target recognition based on spatial vision network", Proc. SPIE 10609, MIPPR 2017: Pattern Recognition and Computer Vision, 106091I (8 March 2018); https://doi.org/10.1117/12.2287145

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available