641 citations · 675 across the 5 of their papers we have counts for
5 papers
Deep Vehicle Detection in Satellite Video
Roman Pflugfelder, Axel Weissenfeld, Julian Wagner
This work presents a deep learning approach for vehicle detection in satellite video. Vehicle detection is perhaps impossible in single EO satellite images due to the tininess of v…
The Problem of Fragmented Occlusion in Object Detection
Julian Pegoraro, Roman Pflugfelder
Object detection in natural environments is still a very challenging task, even though deep learning has brought a tremendous improvement in performance over the last years. A fund…
On Learning Vehicle Detection in Satellite Video
Roman Pflugfelder, Axel Weissenfeld, Julian Wagner
Vehicle detection in aerial and satellite images is still challenging due to their tiny appearance in pixels compared to the overall size of remote sensing imagery. Classical metho…
An In-Depth Analysis of Visual Tracking with Siamese Neural Networks
Roman Pflugfelder
This survey presents a deep analysis of the learning and inference capabilities in nine popular trackers. It is neither intended to study the whole literature nor is it an attempt…
A Novel Performance Evaluation Methodology for Single-Target Trackers
Matej Kristan, Jiri Matas, Ales Leonardis +6
This paper addresses the problem of single-target tracker performance evaluation. We consider the performance measures, the dataset and the evaluation system to be the most importa…