Online multi‐person tracking with two‐stage data association and online appearance model learning

This study addresses the automatic multi‐person tracking problem in complex scenes from a single, static, uncalibrated camera. In contrast with offline tracking approaches, a novel online multi‐person tracking method is proposed based on a sequential tracking‐by‐detection framework, which can be app...

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Bibliographic Details
Main Authors: Jaeyong Ju, Daehun Kim, Bonhwa Ku, David K. Han, Hanseok Ko
Format: Article
Language:English
Published: Wiley 2017-02-01
Series:IET Computer Vision
Subjects:
Online Access:https://doi.org/10.1049/iet-cvi.2016.0068