Smoky vehicle detection based on multi-feature fusion and ensemble neural networks-Reference-Cited by-同舟云学术

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Smoky vehicle detection based on multi-feature fusion and ensemble neural networks

Published:2018-06-16 Issue:24 Volume:77 Page:32153-32177
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Tao Huanjie,Lu Xiaobo^ORCID

Funder

Postgraduate Research and Practice Innovation Program of Jiangsu Province

National Key Science & Technology Pillar Program of China

National Natural Science Foundation of China

Key Research and Development Program of Jiangsu Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-018-6248-2/fulltext.html

Reference39 articles.

1. Barnich O, Droogenbroeck VM (2011) Vibe: a universal background subtraction algorithm for video sequences. IEEE Trans Image Process 20(6):1709

2. Brunelli R, Poggio T (1993) Face Recognition: Features Versus Templates. IEEE Trans Pattern Anal Mach Intell 15(10):1042–1052

3. Bruno DOT, Nascimento MZD, Ramos RP, Batista VR, Neves LA, Martins AS (2016) LBP operators on curvelet coefficients as an algorithm to describe texture in breast cancer tissues. Expert Syst Appl 55(C):329–340

4. Calderara S, Piccinini P, Cucchiara R (Jul. 2011) Vision based smoke detection system using image energy and color information. Mach Vis Appl 22(4):705–719

5. Chirico R, Decarlo PF, Heringa MF, Tritscher T, Richter R et al (2010) Impact of aftertreatment devices on primary emissions and secondary organic aerosol formation potential from in-use diesel vehicles: results from smog chamber experiments. Atmos Chem Phys 10(23):11545–11563

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