Where Are They Going? Clustering Event Camera Data to Detect and Track Moving Objects

Craig Iaboni; Himanshu Patel; Deepan Lobo; Ji Won Choi; Pramod Abichandani; Joanna F. Defranco

doi:10.1109/MC.2021.3136451

Where Are They Going? Clustering Event Camera Data to Detect and Track Moving Objects

Craig Iaboni
, Himanshu Patel
, Deepan Lobo
, Ji Won Choi
, Pramod Abichandani
, Joanna F. Defranco

School of Applied Engr and Tech

Research output: Contribution to specialist publication › Article

2 Scopus citations

Abstract

This tutorial introduces readers to the use of event cameras with frame-based computer vision algorithms. By the end of the article, readers will be proficient in applying off-the-shelf clustering and tracking algorithms to event camera data.

Original language	English (US)
Pages	90-94
Number of pages	5
Volume	55
No	6
Specialist publication	Computer
DOIs	https://doi.org/10.1109/MC.2021.3136451
State	Published - Jun 1 2022

All Science Journal Classification (ASJC) codes

General Computer Science

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10.1109/MC.2021.3136451

Cite this

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title = "Where Are They Going? Clustering Event Camera Data to Detect and Track Moving Objects",

abstract = "This tutorial introduces readers to the use of event cameras with frame-based computer vision algorithms. By the end of the article, readers will be proficient in applying off-the-shelf clustering and tracking algorithms to event camera data.",

author = "Craig Iaboni and Himanshu Patel and Deepan Lobo and Choi, \{Ji Won\} and Pramod Abichandani and Defranco, \{Joanna F.\}",

note = "Publisher Copyright: {\textcopyright} 1970-2012 IEEE.",

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doi = "10.1109/MC.2021.3136451",

language = "English (US)",

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AU - Iaboni, Craig

AU - Patel, Himanshu

AU - Lobo, Deepan

AU - Choi, Ji Won

AU - Abichandani, Pramod

AU - Defranco, Joanna F.

PY - 2022/6/1

Y1 - 2022/6/1

N2 - This tutorial introduces readers to the use of event cameras with frame-based computer vision algorithms. By the end of the article, readers will be proficient in applying off-the-shelf clustering and tracking algorithms to event camera data.

AB - This tutorial introduces readers to the use of event cameras with frame-based computer vision algorithms. By the end of the article, readers will be proficient in applying off-the-shelf clustering and tracking algorithms to event camera data.

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UR - https://www.scopus.com/pages/publications/85132211760#tab=citedBy

U2 - 10.1109/MC.2021.3136451

DO - 10.1109/MC.2021.3136451

M3 - Article

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SN - 0018-9162

VL - 55

SP - 90

EP - 94

JO - Computer

JF - Computer

ER -

Where Are They Going? Clustering Event Camera Data to Detect and Track Moving Objects

Abstract

All Science Journal Classification (ASJC) codes

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