Background elimination method in the event based vision sensor for dynamic environment

This paper presents a background elimination method in the event based vision sensor for dynamic environment. Event based vision sensors quickly output digital data, two dimensional coordinate and time-stamp, in the form of events. Proposed method classifies events into groups according to their pos...

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Bibliographic Details
Published in2014 IEEE International Conference on Consumer Electronics (ICCE) pp. 119 - 120
Main Authors Kyu-Min Kyung, Kwanghyuk Bae, Shung Han Cho, Seongyeong Jeong, Tae-Chan Kim
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2014
Subjects
Computer vision
Conferences
Consumer electronics
Dynamics
Gesture recognition
Support vector machine classification
Vectors
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Summary:This paper presents a background elimination method in the event based vision sensor for dynamic environment. Event based vision sensors quickly output digital data, two dimensional coordinate and time-stamp, in the form of events. Proposed method classifies events into groups according to their position vector. Position vector contains direction and velocity information. Each classified group has their own motion feature. Unintended events are eliminated base on the analysis of motion feature of each group. It makes event based sensor robust in the dynamic environments and guarantees accurate motion detection.
ISSN:2158-3994
2158-4001
DOI:10.1109/ICCE.2014.6775934