1 citations · 1 across the 5 of their papers we have counts for
5 papers
Occlusion-Aware Multi-Object Tracking via Expected Probability of Detection
Jan Krejčí, Oliver Kost, Yuxuan Xia +2
This paper addresses multi-object systems, where objects may occlude one another relative to the sensor. The standard point-object model for detection-based sensors is enhanced so…
Deep Sequence-to-Sequence Models for GNSS Spoofing Detection
Jan Zelinka, Oliver Kost, Marek Hrúz
We present a data generation framework designed to simulate spoofing attacks and randomly place attack scenarios worldwide. We apply deep neural network-based models for spoofing d…
Model-based Multi-object Visual Tracking: Identification and Standard Model Limitations
Jan Krejčí, Oliver Kost, Yuxuan Xia +2
This paper uses multi-object tracking methods known from the radar tracking community to address the problem of pedestrian tracking using 2D bounding box detections. The standard p…
GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms
Ángel F. García-Fernández, Jinhao Gu, Lennart Svensson +4
This paper introduces two quasi-metrics for performance assessment of multi-object tracking (MOT) algorithms. One quasi-metric is an extension of the generalised optimal subpattern…
TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Tracking
Jan Krejčí, Oliver Kost, Ondřej Straka +3
Multi-object tracking algorithms are deployed in various applications, each with different performance requirements. For example, track switches pose significant challenges for off…