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1. WO2020109016 - METHOD FOR COMMON DETECTING, TRACKING AND CLASSIFYING OF OBJECTS

Publication Number WO/2020/109016
Publication Date 04.06.2020
International Application No. PCT/EP2019/081317
International Filing Date 14.11.2019
IPC
G06K 9/00 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
G06K 9/32 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
20Image acquisition
32Aligning or centering of the image pick-up or image-field
G06K 9/62 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
G06T 7/246 2017.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
20Analysis of motion
246using feature-based methods, e.g. the tracking of corners or segments
CPC
G06K 9/00624
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
G06K 9/00805
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
00791Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
00805Detecting potential obstacles
G06K 9/3233
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
20Image acquisition
32Aligning or centering of the image pick-up or image-field
3233Determination of region of interest
G06K 9/627
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6267Classification techniques
6268relating to the classification paradigm, e.g. parametric or non-parametric approaches
627based on distances between the pattern to be recognised and training or reference patterns
G06T 7/246
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
7Image analysis
20Analysis of motion
246using feature-based methods, e.g. the tracking of corners or segments
Applicants
  • OSRAM GMBH [DE]/[DE]
Inventors
  • AMIN, Sikandar
  • MUNJAL, Bharti
  • BRANDLMAIER, Meltem Demirkus
  • AFTAB, Abdul Rafey
  • GALASSO, Fabio
Priority Data
10 2018 220 274.526.11.2018DE
10 2018 220 276.126.11.2018DE
Publication Language German (DE)
Filing Language German (DE)
Designated States
Title
(DE) VERFAHREN ZUM GEMEINSAMEN DETEKTIEREN, VERFOLGEN UND KLASSIFIZIEREN VON OBJEKTEN
(EN) METHOD FOR COMMON DETECTING, TRACKING AND CLASSIFYING OF OBJECTS
(FR) PROCÉDÉ DE DÉTECTION, DE SUIVI ET DE CLASSIFICATION EN COMMUN D’OBJETS
Abstract
(DE)
Es wird ein Verfahren für ein maschinenbasiertes Training eines computerimplementierten Netzwerks zum gemeinsamen Detektieren, Verfolgen und Klassifizieren wenigstens eines Objektes in einer Videobildsequenz aufweisend eine Vielzahl aufeinanderfolgender Einzelbilder vorgeschlagen. Dabei wird während des Trainings ein kombinierter Fehler ermittelt, der sich aus den Fehlern des Bestimmens des Klassenidentifikationsvektors, des Bestimmens des wenigstens eines Identifikationsvektors, des Bestimmens der spezifischen bounding box regression und des Bestimmens der inter-Frame regression ergibt.
(EN)
The invention relates to a method for machine-based training of a computer-implemented network for common detecting, tracking and classifying of at least one object in a video image sequence having a plurality of successive individual images. A combined error is determined during the training, which error results from the errors of the determining of the class identification vector, the determining of the at least one identification vector, the determining of the specific bounding box regression, and the determining of the inter-frame regression.
(FR)
La présente invention concerne un procédé, destiné à un apprentissage automatique d’un réseau mis en œuvre par des ordinateurs, pour détecter, suivre et classifier en commun au moins un objet dans une séquence d’images vidéo qui comprend une pluralité d’images individuelles successives. Selon la présente invention, il est déterminé durant l’apprentissage une erreur combinée qui résulte des erreurs survenues lors de la détermination du vecteur d’identification de classe, lors de la détermination du ou des vecteurs d’identification, lors de la détermination de la régression spécifique de rectangle englobant et lors de la détermination de la régression entre trames.
Also published as
Latest bibliographic data on file with the International Bureau