Remote pedestrians detection at night time in FIR Image using contrast filtering and locally projected region based CNN

Author:

Kim Taehwan1,Kim Sungho1

Affiliation:

1. Yeungnam Univ. (Korea, Republic of)

Publisher

SPIE

Reference71 articles.

1. NHTSA, “Traffic Safety Facts 2013”, (2013).

2. Euro NCAP, “The next steps for Vulnerable Road User AEB assessment, (2016).

3. Two Years Activities in WP29/ITS Informal Group;Hiramatsu,2007

4. Council of the European Union, European Parliament, “Regulation (EC) No 661/2009 of the European Parliament and of the Council Concerning Type-Approval Requirements for the General Safety of Motor Vehicles, Their Trailers and Systems, Components and Separate Technical Units Intended Therefor”, (13 July 2009).

5. Development of Pedestrian detection system using far-infrared ray camera;Saito;SEI TECHNICAL REVIEW-ENGLISH-EDITION-,2008

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1. FIR digital filter design based on improved artificial bee colony algorithm;Soft Computing;2022-10-01

2. Image Electronics Information Sensing;The Journal of The Institute of Image Information and Television Engineers;2018

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