Comparative survey: People detection, tracking and multi-sensor Fusion in a video sequence

Abstract : Tracking people in a video sequence is one of the fields of interest in computer vision. It has broad applications in motion capture and surveillance. However, due to the complexity of human dynamic structure, detecting and tracking are not straightforward. Consequently, different detection and tracking techniques with different applications and performance have been developed. To minimize the noise between the prediction and measurement during tracking, Kalman filter has been used as a filtering technique. At the same time, in most cases, detection and tracking results from a single sensor is not enough to detect and track a person. To avoid this problem, using a multi-sensor fusion technique is indispensable. In this paper, a comparative survey of detection, tracking and multi-sensor fusion methods are presented.
Type de document :
Pré-publication, Document de travail
7 pages, 9 figures. 2018
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01818792
Contributeur : Hiliwi Leake Kidane <>
Soumis le : mardi 19 juin 2018 - 17:37:48
Dernière modification le : mercredi 12 septembre 2018 - 01:27:30
Document(s) archivé(s) le : mardi 25 septembre 2018 - 13:32:29

Fichier

1806.06261.pdf
Accord explicite pour ce dépôt

Identifiants

  • HAL Id : hal-01818792, version 1
  • ARXIV : 1806.06261

Collections

Citation

Hiliwi Leake Kidane. Comparative survey: People detection, tracking and multi-sensor Fusion in a video sequence. 7 pages, 9 figures. 2018. 〈hal-01818792〉

Partager

Métriques

Consultations de la notice

523

Téléchargements de fichiers

46