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Reference TypeConference Paper (Conference Proceedings)
Last Update2012:
Metadata Last Update2020: administrator
Citation KeyFühr:2012:RoPaPe
TitleRobust patch-based pedestrian tracking using monocular calibrated cameras
FormatDVD, On-line.
Access Date2021, Jan. 24
Number of Files1
Size3592 KiB
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AuthorFühr, Gustavo
AffiliationUniversidade Federal do Rio Grande do Sul
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto
DateAug. 22-25, 2012
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2012-09-20 16:45:34 :: -> administrator :: 2012
2020-02-19 02:18:28 :: administrator -> :: 2012
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Is the master or a copy?is the master
Content Stagecompleted
Content TypeExternal Contribution
Keywordspatch-based tracking, wvmf, homography, pedestrian tracking.
AbstractAlthough several methods for pedestrian tracking can be found in the literature, robustly tracking a person in unconstrained environments is an open and active research problem. In this paper, we propose a method that represents each pedestrian as a set of multiple fragments, aiming robustness with respect to occlusions. These patches are tracked individually and their translation vectors are combined robustly in the world coordinate frame using Weighted Vector Median Filters (WVMF). Additionally, the algorithm uses the camera parameters to both estimate the person scale in a straightforward manner and to limit the search region used to track each fragment. Experiments carried out using two publicly available datasets (PETS and TownCentre) are presented, and they indicate that the proposed method is robust to partial occlusions and large scale changes. According to our experiments, the proposed approach outperforms, regarding the quality of localization, some of the methods in the current state of the art.
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