Reference TypeConference Proceedings
Citation KeyMoreiraFeijLopeFeit:2013:ReObTr
Author1 Moreira, Gustavo
2 Feijó, Bruno
3 Lopes, Hélio
4 Feitosa, Raul
Affiliation1 PUC-Rio - Departamento de Informática
2 PUC-Rio - Departamento de Informática
3 PUC-Rio - Departamento de Informática
4 PUC-Rio - Departamento de Engenharia Elétrica
TitleReal-time Object Tracking in High-Definition Video Using Frame Segmentation and Background Integral Images
Conference NameConference on Graphics, Patterns and Images, 26 (SIBGRAPI)
EditorBoyer, Kim
Hirata, Nina
Nedel, Luciana
Silva, Claudio
Book TitleProceedings
DateAug. 5-8, 2013
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationArequipa, Peru
Keywordsobject tracking, real-time tracking, HD videos.
AbstractObject 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.
Tertiary TypeFull Paper
Size1295 KiB
Number of Files1
Target FileTrackingSIB11072013.pdf
Last Update2013:
Metadata Last Update2020: administrator {D 2013}
Document Stagecompleted
Is the master or a copy?is the master
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History2013-07-12 16:37:56 :: -> administrator ::
2020-02-19 03:09:22 :: administrator -> :: 2013
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Access Date2020, Nov. 28