Vision-based Pedestrian Protection Systems for Intelligent Vehicles (Record no. 57665)
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fixed length control field | 03343nam a22004935i 4500 |
001 - CONTROL NUMBER | |
control field | 978-1-4614-7987-1 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200421112226.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 130831s2014 xxu| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9781461479871 |
-- | 978-1-4614-7987-1 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 006.6 |
100 1# - AUTHOR NAME | |
Author | Ger�onimo, David. |
245 10 - TITLE STATEMENT | |
Title | Vision-based Pedestrian Protection Systems for Intelligent Vehicles |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | X, 114 p. 42 illus. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Computer Science, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 1. Introduction -- 2. Candidates Generation -- 3. Classification -- 4. Completing the System -- 5. Datasets and Benchmarking -- 6. Conclusions. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | L�opez, Antonio M. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-1-4614-7987-1 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | New York, NY : |
-- | Springer New York : |
-- | Imprint: Springer, |
-- | 2014. |
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-- | computer |
-- | c |
-- | rdamedia |
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-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer graphics. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computer Imaging, Vision, Pattern Recognition and Graphics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Signal, Image and Speech Processing. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-5768 |
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-- | ZDB-2-SCS |
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