Pedestrian detection system in low illumination conditions through Fusion of image and range data

Pang Ting Huang, Yi Ming Chan, Li Chen Fu, Shih Shinh Huang, Pei Yung Hsiao, Wei Yu Wu, Chun Cheng Lin, Kuo Ching Chang, Ping Min Hsu

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

2 Scopus citations

Abstract

The development of pedestrian detection techniques mainly focused on the research on suitable visual feature in the past decades. However, illumination is not only important to human visual ability to view the surroundings, but is also very critical to the choice of visual features in the vision-based detection methods. Since the visual information can be greatly affected by different illuminations, the resulting detection methods can produce unreliable results. Image-Range Fusion System (IRFS) is proposed by applying the image data from a camera and the range data from a radar simultaneously. For the image part, Logarithm Weighted Pattern (LWP) and a Dynamically Illuminated Object (DIO) detector is proposed to overcome the possible problem caused by the uncertain partial lighting condition within a low-illumination environment. To validate our results, several experiments have been conducted, and the overall system performance is shown to be 88.69%/82.81% of recall/ precision under real-time computing setting.

Original languageEnglish
Title of host publication2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2253-2254
Number of pages2
ISBN (Electronic)9781479960781
DOIs
StatePublished - 14 11 2014
Externally publishedYes
Event2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014 - Qingdao, China
Duration: 08 10 201411 10 2014

Publication series

Name2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014

Conference

Conference2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014
Country/TerritoryChina
CityQingdao
Period08/10/1411/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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