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2020 | OriginalPaper | Chapter

Real-Time Multiple Pedestrians Tracking in Multi-camera System

Authors : Muchun Chen, Yugang Chen, Truong Tan Loc, Bingbing Ni

Published in: MultiMedia Modeling

Publisher: Springer International Publishing

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Abstract

This paper proposes a novel 3D realtime multi-view multi-target tracking framework featured by a global-to-local tracking by detection model and a 3D tracklet-to-tracklet data association scheme. In order to enable the realtime performance, the former maximizes the utilization of temporal differences between consecutive frames, resulting in a great reduction of the average frame-wise detection time. Meanwhile, the latter accurately performs multi-target data association across multiple views to calculate the 3D trajectories of tracked objects. Comprehensive experiments on PETS-09 dataset well demonstrate the outstanding performance of the proposed method in terms of efficiency and accuracy in multi-target 3d trajectory tracking tasks, compared to the state-of-the art methods.

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Metadata
Title
Real-Time Multiple Pedestrians Tracking in Multi-camera System
Authors
Muchun Chen
Yugang Chen
Truong Tan Loc
Bingbing Ni
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-37731-1_38