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 proceedingConference 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 languageEnglish
    Title of host publication2015 IEEE International Conference on Consumer Electronics, ICCE 2015
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages345-346
    Number of pages2
    ISBN (Electronic)9781479975426
    DOIs
    Publication statusPublished - 2015 Mar 23
    Event2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States
    Duration: 2015 Jan 92015 Jan 12

    Publication series

    Name2015 IEEE International Conference on Consumer Electronics, ICCE 2015

    Other

    Other2015 IEEE International Conference on Consumer Electronics, ICCE 2015
    Country/TerritoryUnited States
    CityLas Vegas
    Period15/1/915/1/12

    Bibliographical note

    Publisher Copyright:
    © 2015 IEEE.

    ASJC Scopus subject areas

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

    Fingerprint

    Dive into the research topics of 'Online multi-person tracking for intelligent video surveillance systems'. Together they form a unique fingerprint.

    Cite this