6 papers
GOSPA and T-GOSPA quasi-metrics for evaluation of multi-object tracking algorithms
Ãngel F. GarcÃa-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…
Occlusion-Aware Multi-Object Tracking via Expected Probability of Detection
Jan KrejÄÃ, 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…
A Quantum Algorithm for the Diffusion Step of Grid-based Filter
Yeongkwon Choe, Chan Gook Park, JindÅich DunÃk +3
We propose a simple quantum algorithm for implementing the diffusion step of grid-based Bayesian filters. The method encodes the advected state density and the process noise densit…
Hair-thin confocal fluorescence endo-microscopy for deep-brain in-vivo imaging
Tomáš Pikálek, Miroslav Stibůrek, Tereza TuÄková +6
Confocal and multi-photon microscopy are widely used for in-vivo fluorescence imaging of biological tissues such as the brain, offering non-invasive access up to ~1 mm depth withou…
Model-based Multi-object Visual Tracking: Identification and Standard Model Limitations
Jan KrejÄÃ, 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…
TGOSPA Metric Parameters Selection and Evaluation for Visual Multi-object Tracking
Jan KrejÄÃ, Oliver Kost, OndÅej 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…