A real-time people tracking system based on trajectory estimation using single field of camera view

TitreA real-time people tracking system based on trajectory estimation using single field of camera view
Publication TypeConference Paper
Year of Publication2013
AuthorsHdioud, Ba, Ezzahout, Aa, Hadi, Yab, Thami, ROaHaj
Conference NameInternational Conference on Computer Applications Technology, ICCAT 2013
Abstract

Object detection is a crucial step for video surveillance systems. In this paper, we propose to detect moving objects in video sequences. Under the assumption that our camera is fixed, we use first subtracting the background to extract moving objects. From the detected foreground we applied the Harris corner detector to identify points of interest on the moving object. The analysis of connected components detected by subtracting the background allows grouped the pixels of moving objects in order to extract the center of gravity to draw the trajectory of the objects present in the scene. © 2013 IEEE.

URLhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84879848181&doi=10.1109%2fICCAT.2013.6522038&partnerID=40&md5=2a15bc75e155d914dfa1c1ff16398266
DOI10.1109/ICCAT.2013.6522038
Revues: 

Partenaires

Localisation


Location map

Suivez-nous sur

  

Contactez-nous

ENSIAS

Avenue Mohammed Ben Abdallah Regragui, Madinat Al Irfane, BP 713, Agdal Rabat, Maroc

Résultat de recherche d'images pour "icone fax" Télécopie : (+212) 5 37 77 72 30

    Compteur de visiteurs:287,925
    Education - This is a contributing Drupal Theme
    Design by WeebPal.