Learning from Outputs: Improving Multi-Object Tracking Performance by Tracker Fusion

This paper presents an approach to improving visual object tracking performance by dynamically fusing the results of two trackers, where the scheduling of trackers is determined by a support vector machine (SVM). By classifying the outputs of other trackers, our method learns their behaviors and exp...

Fuld beskrivelse

Bibliografiske detaljer

Principais autores:	Vincenzo M. Scarrica, Antonino Staiano
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2024-11-01
Serier:	Technologies
Fag:	multi-object tracking visual object tracking segmentation human-crowd tracking support vector machine
Online adgang:	https://www.mdpi.com/2227-7080/12/12/239
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!