research-article

Distributed Person of Interest Tracking In Camera Networks

Authors:

K. A. Shiva Kumar,

K. R. Ramakrishnan,

G. N. RathnaAuthors Info & Claims

ICDSC 2017: Proceedings of the 11th International Conference on Distributed Smart Cameras

Pages 131 - 137

https://doi.org/10.1145/3131885.3131921

Published: 05 September 2017 Publication History

Abstract

In this paper we address the problem of tracking a specific person among many in non-overlapping camera networks. It is an important problem with many applications in surveillance and security. Given a person to be tracked by initialising the person in one of the cameras, our objective is to track the person throughout the camera network. We propose a distributed solution where the processing is done in cameras itself and information is shared with neighbours to cooperatively work together. When the person goes out of a field of view (FOV) of a camera, the neighbour cameras go into search mode. We use an on-line fine-tuned re-identification and distributed minimum algorithms to successfully re-identify the person. We performed real-world data experiments showing the performance of the proposed algorithm.

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Cited By

Fan XZheng H(2024)An Instance-Level Motion-Aware Graph Model for Multi-target Multi-camera Tracking2024 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN60899.2024.10650328(1-8)Online publication date: 30-Jun-2024
https://doi.org/10.1109/IJCNN60899.2024.10650328
woo SPark KShin IKim MKweon I(2024)MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.02108(22335-22346)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.02108
Liu WWei GWang YWu R(2023)Indoor Multipedestrian Multicamera Tracking Based on Fine Spatiotemporal ConstraintsIEEE Internet of Things Journal10.1109/JIOT.2023.323514810:11(10012-10023)Online publication date: 1-Jun-2023
https://doi.org/10.1109/JIOT.2023.3235148
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Distributed Person of Interest Tracking In Camera Networks
1. Computing methodologies
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ICDSC 2017: Proceedings of the 11th International Conference on Distributed Smart Cameras

September 2017

221 pages

ISBN:9781450354875

DOI:10.1145/3131885

Copyright � 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Stanford University: Stanford University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 September 2017

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ICDSC 2017

ICDSC 2017: International Conference on Distributed Smart Cameras

September 5 - 7, 2017

CA, Stanford, USA

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Overall Acceptance Rate 92 of 117 submissions, 79%

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Cited By

Fan XZheng H(2024)An Instance-Level Motion-Aware Graph Model for Multi-target Multi-camera Tracking2024 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN60899.2024.10650328(1-8)Online publication date: 30-Jun-2024
https://doi.org/10.1109/IJCNN60899.2024.10650328
woo SPark KShin IKim MKweon I(2024)MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR52733.2024.02108(22335-22346)Online publication date: 16-Jun-2024
https://doi.org/10.1109/CVPR52733.2024.02108
Liu WWei GWang YWu R(2023)Indoor Multipedestrian Multicamera Tracking Based on Fine Spatiotemporal ConstraintsIEEE Internet of Things Journal10.1109/JIOT.2023.323514810:11(10012-10023)Online publication date: 1-Jun-2023
https://doi.org/10.1109/JIOT.2023.3235148
Hsu HWang YCai JHwang J(2022)Multi-Target Multi-Camera Tracking of Vehicles by Graph Auto-Encoder and Self-Supervised Camera Link Model2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)10.1109/WACVW54805.2022.00055(489-499)Online publication date: Jan-2022
https://doi.org/10.1109/WACVW54805.2022.00055
Davis B(2022)Footstep localization and force estimation through structural vibrations using the FEEL AlgorithmMeasurement10.1016/j.measurement.2022.111247197(111247)Online publication date: Jun-2022
https://doi.org/10.1016/j.measurement.2022.111247
Khochare AKrishnan ASimmhan Y(2021)A Scalable Platform for Distributed Object Tracking Across a Many-Camera NetworkIEEE Transactions on Parallel and Distributed Systems10.1109/TPDS.2021.304945032:6(1479-1493)Online publication date: 1-Jun-2021
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Quach KNguyen PLe HTruong TDuong CTran MLuu K(2021)DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)10.1109/CVPR46437.2021.01357(13779-13788)Online publication date: Jun-2021
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He YWei XHong XShi WGong Y(2020)Multi-Target Multi-Camera Tracking by Tracklet-to-Target AssignmentIEEE Transactions on Image Processing10.1109/TIP.2020.298007029(5191-5205)Online publication date: 2020
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He YHan JYu WHong XWei XGong Y(2020)City-Scale Multi-Camera Vehicle Tracking by Semantic Attribute Parsing and Cross-Camera Tracklet Matching2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)10.1109/CVPRW50498.2020.00296(2456-2465)Online publication date: Jun-2020
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Habiba UAwais MKhan MJaleel A(2020)An Inexpensive Upgradation of Legacy Cameras Using Software and Hardware Architecture for Monitoring and Tracking of Live ThreatsIEEE Access10.1109/ACCESS.2020.29647788(40106-40117)Online publication date: 2020
https://doi.org/10.1109/ACCESS.2020.2964778

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