Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service

Seyed Yahya Nikouei; Yu Chen; Sejun Song; Timothy R. Faughnan

doi:10.1109/CCNC.2019.8651791

Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service

Seyed Yahya Nikouei
, Yu Chen
, Sejun Song
, Timothy R. Faughnan

State University of New York System
University of Missouri at Kansas City
State University of New York Binghamton University

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

Original language	English
Title of host publication	2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538655535
DOIs	https://doi.org/10.1109/CCNC.2019.8651791
State	Published - Feb 25 2019
Externally published	Yes
Event	16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 - Las Vegas, United States Duration: Jan 11 2019 → Jan 14 2019

Publication series

Name	2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

Conference

Conference	16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019
Country/Territory	United States
City	Las Vegas
Period	1/11/19 → 1/14/19

ASJC Scopus Subject Areas

Electrical and Electronic Engineering
Computer Networks and Communications

Keywords

Edge Computing
Kernelized Correlation Filter (KCF)
Lightweight Trackers
Smart Surveillance

Access to Document

10.1109/CCNC.2019.8651791

Cite this

Nikouei, S. Y., Chen, Y., Song, S., & Faughnan, T. R. (2019). Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service. In 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 Article 8651791 (2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCNC.2019.8651791

Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service. / Nikouei, Seyed Yahya; Chen, Yu; Song, Sejun et al.
2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8651791 (2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019).

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

Nikouei, SY, Chen, Y, Song, S & Faughnan, TR 2019, Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service. in 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019., 8651791, 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019, Institute of Electrical and Electronics Engineers Inc., 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019, Las Vegas, United States, 1/11/19. https://doi.org/10.1109/CCNC.2019.8651791

Nikouei SY, Chen Y, Song S, Faughnan TR. Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service. In 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8651791. (2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019). doi: 10.1109/CCNC.2019.8651791

Nikouei, Seyed Yahya ; Chen, Yu ; Song, Sejun et al. / Kerman : A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service. 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019).

@inproceedings{f27b56825d4c44e3a8f41e7f45ace134,

title = "Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service",

keywords = "Edge Computing, Kernelized Correlation Filter (KCF), Lightweight Trackers, Smart Surveillance",

author = "Nikouei, \{Seyed Yahya\} and Yu Chen and Sejun Song and Faughnan, \{Timothy R.\}",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019 ; Conference date: 11-01-2019 Through 14-01-2019",

year = "2019",

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AU - Faughnan, Timothy R.

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KW - Edge Computing

KW - Kernelized Correlation Filter (KCF)

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M3 - Conference contribution

AN - SCOPUS:85063530721

T3 - 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

BT - 2019 16th IEEE Annual Consumer Communications and Networking Conference, CCNC 2019

PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Kerman: A Hybrid Lightweight Tracking Algorithm to Enable Smart Surveillance as an Edge Service

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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