A Real-time, Automatic Target Detection and Tracking Method for Variable Number of Targets in Airborne Imagery

Tunç Alkanat, Emre Tunali, Sinan Öz

2015

Abstract

In this study, a real-time fully automatic detection and tracking method is introduced which is capable of handling variable number of targets. The procedure starts with multiple scale target hypothesis generation in which the distinctive targets are revealed. To measure distinctiveness; first, the interested blobs are detected based on Canny edge detection with adaptive thresholding which is achieved by a feedback loop considering the number of target hypotheses of the previous frame. Then, the irrelevant blobs are eliminated by two metrics, namely effective saliency and compactness. To handle the missing and noisy observations, temporal consistency of each target hypothesis is evaluated and the outlier observations are eliminated. To merge data from multiple scales, a target likelihood map is generated by using kernel density estimation in which weights of the observations are determined by temporal consistency and scale factor. Finally, significant targets are selected by an adaptive thresholding scheme; then the tracking is achieved by minimizing spatial distance between the selected targets in consecutive frames.

Paper Citation

in Harvard Style

Alkanat T., Tunali E. and Öz S. (2015). A Real-time, Automatic Target Detection and Tracking Method for Variable Number of Targets in Airborne Imagery . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 61-69. DOI: 10.5220/0005298400610069

in Bibtex Style

@conference{visapp15,
author={Tunç Alkanat and Emre Tunali and Sinan Öz},
title={A Real-time, Automatic Target Detection and Tracking Method for Variable Number of Targets in Airborne Imagery},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={61-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005298400610069},
isbn={978-989-758-090-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - A Real-time, Automatic Target Detection and Tracking Method for Variable Number of Targets in Airborne Imagery
SN - 978-989-758-090-1
AU - Alkanat T.
AU - Tunali E.
AU - Öz S.
PY - 2015
SP - 61
EP - 69
DO - 10.5220/0005298400610069