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10 March 2020 Practical detection and tracking of flying small objects in infrared images
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Abstract

To overcome the difficulties in tracking flying targets in the sky under different conditions, a combined scheme is proposed to get a long-term tracklet: (1) point object is efficiently detected via a fast hypothesis test for background extraction, and an improved correlation filtering algorithm is utilized for possibly near object with much texture; (2) tracker is initialized and managed by estimating continuous motion using an acceleration Kalman filter; and (3) prior knowledge of object is further incorporated to remove false object in tracklet association process. Outdoor experiments prove that the proposed techniques improve the accuracy and reliability for target objects undergoing significant appearance variation due to cloud shift, abrupt motion, and temporary occlusion, and it also extends the validity of our strategy for further valuable applications.

© 2020 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2020/$28.00 © 2020 SPIE
Shixiang Cao, Chunmei Li, Shulong Bao, and Hongyan He "Practical detection and tracking of flying small objects in infrared images," Journal of Applied Remote Sensing 14(1), 016514 (10 March 2020). https://doi.org/10.1117/1.JRS.14.016514
Received: 3 September 2019; Accepted: 18 February 2020; Published: 10 March 2020
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