Online multi-person tracking for intelligent video surveillance systems

Jaeyong Ju; Bonhwa Ku; Daehun Kim; Taeyup Song; David K. Han; Hanseok Ko

doi:10.1109/ICCE.2015.7066438

Online multi-person tracking for intelligent video surveillance systems

Jaeyong Ju
, Bonhwa Ku
, Daehun Kim
, Taeyup Song
, David K. Han
, Hanseok Ko

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

12 Citations (Scopus)

Abstract

This paper presents a novel online multi-person tracking method based on tracking-by-detection framework for intelligent video surveillance systems consisting of an internet protocol (IP) camera and a network video recorder (NVR). First, the two-step data association based on high/low confidence targets is proposed for handling long-term occlusions effectively. Additionally, the method that reasons and handles severe inter-target occlusion is proposed. Representative experimental results demonstrate the effectiveness and robustness of the proposed method.

Original language	English
Title of host publication	2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	345-346
Number of pages	2
ISBN (Electronic)	9781479975426
DOIs	https://doi.org/10.1109/ICCE.2015.7066438
Publication status	Published - 2015 Mar 23
Event	2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States Duration: 2015 Jan 9 → 2015 Jan 12

Publication series

Name	2015 IEEE International Conference on Consumer Electronics, ICCE 2015

Other

Other	2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Country/Territory	United States
City	Las Vegas
Period	15/1/9 → 15/1/12

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

Access to Document

10.1109/ICCE.2015.7066438

Cite this

Ju, J., Ku, B., Kim, D., Song, T., Han, D. K., & Ko, H. (2015). Online multi-person tracking for intelligent video surveillance systems. In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 (pp. 345-346). Article 7066438 (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2015.7066438

Online multi-person tracking for intelligent video surveillance systems. / Ju, Jaeyong; Ku, Bonhwa; Kim, Daehun et al.
2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 345-346 7066438 (2015 IEEE International Conference on Consumer Electronics, ICCE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ju, J, Ku, B, Kim, D, Song, T, Han, DK & Ko, H 2015, Online multi-person tracking for intelligent video surveillance systems. in 2015 IEEE International Conference on Consumer Electronics, ICCE 2015., 7066438, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 345-346, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, Las Vegas, United States, 15/1/9. https://doi.org/10.1109/ICCE.2015.7066438

Ju J, Ku B, Kim D, Song T, Han DK, Ko H. Online multi-person tracking for intelligent video surveillance systems. In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 345-346. 7066438. (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). doi: 10.1109/ICCE.2015.7066438

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abstract = "This paper presents a novel online multi-person tracking method based on tracking-by-detection framework for intelligent video surveillance systems consisting of an internet protocol (IP) camera and a network video recorder (NVR). First, the two-step data association based on high/low confidence targets is proposed for handling long-term occlusions effectively. Additionally, the method that reasons and handles severe inter-target occlusion is proposed. Representative experimental results demonstrate the effectiveness and robustness of the proposed method.",

author = "Jaeyong Ju and Bonhwa Ku and Daehun Kim and Taeyup Song and Han, \{David K.\} and Hanseok Ko",

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AB - This paper presents a novel online multi-person tracking method based on tracking-by-detection framework for intelligent video surveillance systems consisting of an internet protocol (IP) camera and a network video recorder (NVR). First, the two-step data association based on high/low confidence targets is proposed for handling long-term occlusions effectively. Additionally, the method that reasons and handles severe inter-target occlusion is proposed. Representative experimental results demonstrate the effectiveness and robustness of the proposed method.

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ER -

Online multi-person tracking for intelligent video surveillance systems

Abstract

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Bibliographical note

ASJC Scopus subject areas

Access to Document

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