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Stefan Becker

Dynamic Switching State Systems for Visual Tracking

(Karlsruher Schriften zur Anthropomatik ; 46)

AutorBecker, Stefan

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783731510383

UmfangXI, 198 S.

Veröffentlicht
am:
02.12.2020

Erscheinungs-
jahr
2020

Verfügbarkeit04

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000122541

Abstract

This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.