Tracking Pedestrians Under Occlusion Using Multiple Cameras
作者： Jorge P. Batista
DOI: 10.1007/978-3-540-30126-4_68
关键词:
摘要: This paper presents a integrated solution to track multiple non-rigid objects (pedestrians) in cameras system with ground-plane trajectory prediction and occlusion modelling. The resulting is able maintain the tracking of pedestrians before, during after occlusion. Pedestrians are detected segmented using dynamic background model combined motion detection brightness color distortion analysis. Two levels have been implemented: image level tracking. Several target cues used disambiguate between possible candidates correspondence process: spacial temporal estimation, object height. A simple robust for monitoring grouping management described. Experiments dual camera setup common field view presented.
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sci-hub.st 参考文章(21)
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