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  4. Multi-Object Tracking in Drone Videos
 
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2021
Conference Paper
Title

Multi-Object Tracking in Drone Videos

Abstract
In this report, three popular methods for multi-pedestrian tracking are extended to a multi-category setting and tested on a large drone-based dataset. A thorough comparison of the algorithms is presented and a common shortcoming is identified. Building on this, a new tracking-by-detection based approach is developed that outperforms the other methods by a large margin. In addition, a state-of-the-art object detection model is adapted for the drone imagery, since no public detections are available for the dataset.
Author(s)
Stadler, Daniel  
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Mainwork
Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory 2020. Proceedings  
Conference
Fraunhofer Institute of Optronics, System Technologies and Image Exploitation and Institute for Anthropomatics, Vision and Fusion Laboratory (Joint Workshop) 2020  
Open Access
File(s)
Download (2.05 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.24406/publica-r-411595
10.5445/IR/1000135221
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
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