Machine learning for vision-based motion analysis : (notice n° 13142)
| 000 -LEADER | |
|---|---|
| fixed length control field | 03406nam a2200337 u 4500 |
| 001 - CONTROL NUMBER | |
| control field | UNI0000318 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20161123130103.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 131101s2010 XX eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 0857290568 (hardcover) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780857290564 (hardcover) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | DCLC |
| 040 ## - CATALOGING SOURCE | |
| Modifying agency | IMIST |
| Description conventions | AFNOR |
| 041 1# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.31 |
| Edition number | 22 |
| 245 #0 - TITLE STATEMENT | |
| Title | Machine learning for vision-based motion analysis : |
| Remainder of title | theory and techniques |
| Statement of responsibility, etc | Liang Wang, Guoying Zhao, Li Cheng, Matti Pietikainen. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 2011th ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc | [S.l.] |
| Name of publisher, distributor, etc | Springer |
| Date of publication, distribution, etc | 2010. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 384 p. |
| Dimensions | 24 cm. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Advances in computer vision and pattern recognition. |
| 500 ## - GENERAL NOTE | |
| General note | Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applications from visual surveillance to human-machine interfaces, the ability to automatically analyze and understand object motions from video footage is of increasing importance. Among the latest developments in this field is the application of statistical machine learning algorithms for object tracking, activity modeling, and recognition. Developed from expert contributions to the first and second International Workshop on Machine Learning for Vision-Based Motion Analysis, this important text/reference highlights the latest algorithms and systems for robust and effective vision-based motion understanding from a machine learning perspective. Highlighting the benefits of collaboration between the communities of object motion understanding and machine learning, the book discusses the most active forefronts of research, including current challenges and potential future directions. Topics and features: provides a comprehensive review of the latest developments in vision-based motion analysis, presenting numerous case studies on state-of-the-art learning algorithms; examines algorithms for clustering and segmentation, and manifold learning for dynamical models; describes the theory behind mixed-state statistical models, with a focus on mixed-state Markov models that take into account spatial and temporal interaction; discusses object tracking in surveillance image streams, discriminative multiple target tracking, and guidewire tracking in fluoroscopy; explores issues of modeling for saliency detection, human gait modeling, modeling of extremely crowded scenes, and behavior modeling from video surveillance data; investigates methods for automatic recognition of gestures in Sign Language, and human action recognition from small training sets. Researchers, professional engineers, and graduate students in computer vision, pattern recognition and machine learning, will all find this text an accessible survey of machine learning techniques for vision-based motion analysis. The book will also be of interest to all who work with specific vision applications, such as surveillance, sport event analysis, healthcare, video conferencing, and motion video indexing and retrieval. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer science |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Image processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Motion perception (Vision) |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cheng,, Li. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Pietikainen,, Matti. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wang,, Liang. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zhao,, Guoying. |
| Withdrawn status | Lost status | Damaged status | Not for loan | Permanent Location | Current Location | Date acquired | Inventory number | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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| La bibliothèque des sciences de l'ingénieur | La bibliothèque des sciences de l'ingénieur | 20926 | 006.31 WAN | 0000000020158 | 11/23/2016 | 11/23/2016 | Livre |