%0 Conference Proceedings
%4 sid.inpe.br/sibgrapi/2013/07.12.16.37
%2 sid.inpe.br/sibgrapi/2013/07.12.16.37.56
%@doi 10.1109/SIBGRAPI.2013.20
%T Real-time Object Tracking in High-Definition Video Using Frame Segmentation and Background Integral Images
%D 2013
%A Moreira, Gustavo,
%A Feijó, Bruno,
%A Lopes, Hélio,
%A Feitosa, Raul,
%@affiliation PUC-Rio - Departamento de Informática
%@affiliation PUC-Rio - Departamento de Informática
%@affiliation PUC-Rio - Departamento de Informática
%@affiliation PUC-Rio - Departamento de Engenharia Elétrica
%E Boyer, Kim,
%E Hirata, Nina,
%E Nedel, Luciana,
%E Silva, Claudio,
%B Conference on Graphics, Patterns and Images, 26 (SIBGRAPI)
%C Arequipa, Peru
%8 5-8 Aug. 2013
%I IEEE Computer Society
%J Los Alamitos
%S Proceedings
%K object tracking, real-time tracking, HD videos.
%X Object tracking in video sequences is still a challenging issue in real-time video processing. In this paper we propose an integrated detection and tracking method suitable for high-definition videos at real-time frame rates. In this method we implement a frame segmentation procedure using integral images of the background, which permits to discard the analysis of several image parts of each frame and achieve high frame rates. Also we extend the proposed algorithm to detect multiple objects in parallel.
%@language en
%3 TrackingSIB11072013.pdf