Infrared small target tracking in complex background based on trajectory prediction

Lizhe Zhang; Kai Liu; Long Gao

doi:10.1117/12.2557345

3 January 2020 Infrared small target tracking in complex background based on trajectory prediction

Lizhe Zhang, Kai Liu, Long Gao

Proceedings Volume 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019); 113731Q (2020) https://doi.org/10.1117/12.2557345
Event: Eleventh International Conference on Graphics and Image Processing, 2019, Hangzhou, China

Abstract

A new infrared small target tracking method is proposed to track objects. First, the two-scale flux density calculating method based on the infrared orientation gradient feature of IR image is presented to extract feature of tracker, which is an effective method to solve the problem in feature extraction of tracking infrared small targets. Second, the least-square trajectory prediction algorithm is applied to deal with the difficulty of target loss in the tracking process. This algorithm makes full use of the continuity and direction of the target motion, avoids the interference of noise and achieves the prediction and discrimination of the target trajectory. The experimental results indicate that the proposed tracking algorithm is superior in precision and has less processing time compared with the contrast algorithms, so it is an efficient method for IR small target tracking in a complex background.

Citation Download Citation

Lizhe Zhang, Kai Liu, and Long Gao "Infrared small target tracking in complex background based on trajectory prediction", Proc. SPIE 11373, Eleventh International Conference on Graphics and Image Processing (ICGIP 2019), 113731Q (3 January 2020); https://doi.org/10.1117/12.2557345

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KEYWORDS

Infrared radiation

Thermography

Detection and tracking algorithms

Infrared search and track

Infrared imaging

Clouds

Feature extraction

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