Hot spot method for pedestrian detection using saliency maps, discrete Chebyshev moments and support vector machine-Reference-Cited by-同舟云学术

Hot spot method for pedestrian detection using saliency maps, discrete Chebyshev moments and support vector machine

Published:2018-07 Issue:7 Volume:12 Page:1284-1291
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Lahouli Ichraf¹²³,Karakasis Evangelos⁴,Haelterman Robby²,Chtourou Zied¹,De Cubber Geert²,Gasteratos Antonios⁴,Attia Rabah³

Affiliation:

1. VRIT Research GroupMilitary Academy of TunisiaNabeul8000Tunisia

2. Royal Military AcademyAvenue de la Renaissance 30Brussels1000Belgium

3. SERCOM LaboratoryTunisia Polytechnic SchoolRue El Khawarizmi, Tunis, La Marsa 2078Tunisia

4. Democritus University of ThraceVasilissis Sofias 12Xanthi67100Greece

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2017.0221

Reference25 articles.

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2. An iterative integrated framework for thermal–visible image registration, sensor fusion, and people tracking for video surveillance applications

3. VandoneA.: ‘Algorithms for infrared image processing’ 2011

4. Background-subtraction using contour-based fusion of thermal and visible imagery

5. 2013 SPIE Defense Security and Sensing Baltimore MA USA M. Teutsch T. Müller Hot spot detection and classification in LWIR videos for person recognition 87440F

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