Improvement of moving object detection accuracy on aerial imagery using sensor geometry

Deukryeol Yoon; Wonyoung Heo; Seongjo Kim; Hyunseong Sung; Jongmin Jeong

doi:10.1117/12.2558410

11 May 2020 Improvement of moving object detection accuracy on aerial imagery using sensor geometry

Deukryeol Yoon, Wonyoung Heo, Seongjo Kim, Hyunseong Sung, Jongmin Jeong

Proceedings Volume 11423, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX; 114230J (2020) https://doi.org/10.1117/12.2558410
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

In this paper, we propose an efficient approach to improve moving object detection accuracy which is adaptive to changes in object size according to the altitude of the aircraft. The proposed algorithm can effectively detect moving objects with various pixel-scale from 8x8 to 100x100 in full-HD motion imagery. It consists of two stages which are detection and fusion. At the first stage, two algorithms are performed simultaneously: One is one-stage object detection network for detecting large objects, and the other is optical flow method for detecting small moving objects. In the second stage, results from the first stage are fused with a Ground Sample Distance (GSD) of imagery. We have conducted experiments using aerial imagery taken at a height between 130 meters and 400 meters. We evaluated the detection performance of our method in terms of precision, recall and normalized multiple object detection accuracy (N-MODA). Through experiments, we proved that the superiority of the proposed method.

Conference Presentation

Citation Download Citation

Deukryeol Yoon, Wonyoung Heo, Seongjo Kim, Hyunseong Sung, and Jongmin Jeong "Improvement of moving object detection accuracy on aerial imagery using sensor geometry", Proc. SPIE 11423, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIX, 114230J (11 May 2020); https://doi.org/10.1117/12.2558410

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