footer-legal-menu-component

footer-menu

Academic Institutions

K-12

Public Libraries

Government and Special Libraries

Statewide Programs

Institutions

Databases

Primary Sources

Digital Humanities Tools

eLearning

Schools/K-12 Curriculum

Books

Large Print Books by Thorndike Press

Products

Find Your Rep

Product Support

Technical Support

Customer Support

Admin Tools

Accessibility Policy

Support

About Us

Blogs

Press Center

Events

News

Careers

Partnerships

Contact Us

Our Company

products

Marketing materials, training documents, discovery services

cengage:card

FIND YOUR SALES REPRESENTATIVE

cengage:column

Get marketing materials, training documents, discovery services.

PRODUCT SUPPORT

CUSTOMER SUPPORT

Report technical issues, errors, check system status

TECHNICAL SUPPORT

Manage product preferences, generate usage reports, simplify administrative tasks.

ADMIN TOOLS

support

%1 products have been added to your cart but %2 have been backordered and will be fulfilled when stock is available

Product on backorder

Current quantity limit is [maxProductQuantity], please, navigate to the cart page and change quantity of product

You will be able to resubmit promo in ${countdown} seconds. test

Please note that the taxes displayed on our website are estimated and subject to adjustment. The actual tax charges will be determined and settled during the final invoicing of your order

product-detail-component

Account Information

bundle-connector

footer-menu-component

header

cengage:galethorndikeseo

Would you like to go to the Gale {{RECOMMENDED_COUNTRY}} site instead?

It looks like you're visiting from {{DETECTED_COUNTRY}}.

main

mega-menu

Browse by Institution Type

Browse by Product Type

single-column

header-component

secondary-account-menu

footer-social-menu

Sign Up for Emails

CONNECT WITH GALE

Stay up-to-date with the latest Gale news, exclusive offers, and more.

facebook

linkedin

instagram

youtube

SOCIAL ICONS

zone2

footer-legal-menu

Terms of use

Privacy

container

Profile

Orders

Wish List

Fast Order Entry

My Account

zone1

gale-footer

FIND YOUR REP

support-order-2

secondary-storefront-menu

International

North America

China

Japan

Latin America

Brazil

Region

Set your region:

config

secondary-primary-menu

Request a Trial

footer-social-menu-component

footer

You may already have access to Gale content through your institution.

STUDENTS AND RESEARCHERS

support-order-1

zone3

Vision-based Pedestrian Protection Systems for Intelligent Vehicles

SBCS: VISION-BSD PDSTRN PRTCTN SYSTMS FR INTLLGNT VHCLS

Information Technology

Computing & Information Technology

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

Pedestrian Protection Systems (PPSs) are on-board systems aimed at detecting and tracking people in the surroundings of a vehicle in order to avoid potentially dangerous situations. These systems, together with other Advanced Driver Assistance Systems (ADAS) such as lane departure warning or adaptive cruise control, are one of the most promising ways to improve traffic safety. By the use of computer vision, cameras working either in the visible or infra-red spectra have been demonstrated as a reliable sensor to perform this task. Nevertheless, the variability of human's appearance, not only in terms of clothing and sizes but also as a result of their dynamic shape, makes pedestrians one of the most complex classes even for computer vision. Moreover, the unstructured changing and unpredictable environment in which such on-board systems must work makes detection a difficult task to be carried out with the demanded robustness.

In this brief, the state of the art in PPSs is introduced through the review of the most relevant papers of the last decade. A common computational architecture is presented as a framework to organize each method according to its main contribution. More than 300 papers are referenced, most of them addressing pedestrian detection and others corresponding to the descriptors (features), pedestrian models, and learning machines used. In addition, an overview of topics such as real-time aspects, systems benchmarking and future challenges of this research area are presented.

POST SECONDARY FOUR YEAR

COLFR

COLJR

COLSO

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Other Frontmatter.
Title Page.
Copyright Page.
Preface.
Contents.
1: Introduction.
2: Candidates Generation.
3: Classification.
4: Completing the System.
5: Datasets and Benchmarking.
6: Conclusions.
References.

Vision-based Pedestrian Protection Systems for Intelligent Vehicles.css-1p8rvzy{position:absolute;padding-left:8px;}

Vision-based Pedestrian Protection Systems for Intelligent Vehicles