Real-time unmanned aerial vehicle tracking of fast moving small target on ground

Junhua Yan; Jun Du; Yong Young; Christopher R. Chatwin; Rupert C. D. Young; Philip Birch

doi:10.1117/1.JEI.27.5.053010

14 September 2018 Real-time unmanned aerial vehicle tracking of fast moving small target on ground

Junhua Yan, Jun Du, Yong Young, Christopher R. Chatwin, Rupert C. D. Young, Philip Birch

Author Affiliations +

Funded by: National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China, Aeronautical Science Foundation of China, Science and Technology on Avionics Integration Laboratory and Aeronautical Science Foundation of China, National Natural Science Foundation of Jiangsu Province, Natural Science Foundation of Jiangsu Province

Journal of Electronic Imaging, Vol. 27, Issue 5, 053010 (September 2018). https://doi.org/10.1117/1.JEI.27.5.053010

Abstract

To solve the problems of occlusion and fast motion of small targets in unmanned aerial vehicle target tracking, an adaptive algorithm that fuses the improved color histogram tracking response and the correlation filter tracking response based on multichannel histogram of oriented gradient features is proposed to realize small target tracking with high accuracy. The state judgment index is used to determine whether the target is in a fast motion or an occlusion state. In the fast motion state, the search area is enlarged, and the color optimal model that suppresses the suspected area is used for rough detection. Then, redetection in the location of multiple peaks in the rough detection response is carried out using the correlation filter to accurately locate the target. In an occlusion state, the model stops updating, the search area is expanded, and the current color model is used for rough detection. Then, redetection in the place of multiple peaks in the rough detection response is carried out using the correlation filter to accurately locate the target. Experimental results show that the proposed method can track small targets accurately. The frame rate of the proposed method is 40.23 frames/s, indicating usable real-time performance.

CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Citation Download Citation

Junhua Yan, Jun Du, Yong Young, Christopher R. Chatwin, Rupert C. D. Young, and Philip Birch "Real-time unmanned aerial vehicle tracking of fast moving small target on ground," Journal of Electronic Imaging 27(5), 053010 (14 September 2018). https://doi.org/10.1117/1.JEI.27.5.053010

Received: 6 April 2018; Accepted: 16 August 2018; Published: 14 September 2018

ACCESS THE FULL ARTICLE

JOURNAL ARTICLE
12 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY