Since targets are small in long range infrared (IR) videos, it is challenging to accurately detect targets in those videos. In this paper, we propose a high performance approach to detecting small targets in long range and low quality infrared videos. Our approach consists of a video resolution enhancement module, a proven small target detector based on local intensity and gradient (LIG), a connected component (CC) analysis module, and a track association module to connect detections from multiple frames. Extensive experiments using actual mid-wave infrared (MWIR) videos in ranges between 3500 m and 5000 m from a benchmark dataset clearly demonstrated the efficacy of the proposed approach.
@article{arxiv.2012.02579,
title = {A high performance approach to detecting small targets in long range low quality infrared videos},
author = {Chiman Kwan and Bence Budavari},
journal= {arXiv preprint arXiv:2012.02579},
year = {2020}
}
Comments
Submitted to Journal of Signal, Image and Video Processing