loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Tunç Alkanat ; Emre Tunali and Sinan Öz

Affiliation: ASELSAN Inc. Microelectronics, Turkey

ISBN: 978-989-758-090-1

Keyword(s): Real-time Target Detection, Multiple Target Tracking, Temporal Consistency, Data Association, Target Probability Density Estimation, Adaptive Target Selection.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation ; Visual Attention and Image Saliency

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 adapti ve thresholding scheme; then the tracking is achieved by minimizing spatial distance between the selected targets in consecutive frames. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 35.172.111.215

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 61-69. DOI: 10.5220/0005298400610069

@conference{visapp15,
author={Tun\c{C} 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 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={61-69},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005298400610069},
isbn={978-989-758-090-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: 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

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.