Real time object detection based on saliency map

Sanggi Kim, Eunjeong Jang, Seunghwa Hyun, Dong Seog Han

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this paper, a traffic light recognition system for real-time processing has been proposed. The conventional saliency map is hardly applicable to traffic light recognition systems due to its high complexity. The proposed system is made for a real-time traffic light recognition system by optimizing the saliency map. The proposed system maintains the recognition rate and reduces the complexity of the system when compared to the conventional system.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Consumer Electronics, ICCE 2016
EditorsFrancisco J. Bellido, Daniel Diaz-Sanchez, Nicholas C. H. Vun, Carsten Dolar, Wing-Kuen Ling
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages534-535
Number of pages2
ISBN (Electronic)9781467383646
DOIs
StatePublished - 10 Mar 2016
EventIEEE International Conference on Consumer Electronics, ICCE 2016 - Las Vegas, United States
Duration: 7 Jan 201611 Jan 2016

Publication series

Name2016 IEEE International Conference on Consumer Electronics, ICCE 2016

Conference

ConferenceIEEE International Conference on Consumer Electronics, ICCE 2016
Country/TerritoryUnited States
CityLas Vegas
Period7/01/1611/01/16

Fingerprint

Dive into the research topics of 'Real time object detection based on saliency map'. Together they form a unique fingerprint.

Cite this