Human Recognition at a Distance in Video

Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Bhanu, Bir (Autor), Han, Ju (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Springer London : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Advances in Computer Vision and Pattern Recognition,
Temas:
Artificial intelligence.
Computer vision.
Pattern recognition systems.
Computers and civilization.
Artificial Intelligence.
Computer Vision.
Automated Pattern Recognition.
Computers and Society.
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-0-85729-124-0
003 DE-He213
005 20220112104352.0
007 cr nn 008mamaa
008 101109s2010 xxk| s |||| 0|eng d
020 |a 9780857291240  |9 978-0-85729-124-0 
024 7 |a 10.1007/978-0-85729-124-0  |2 doi 
050 4 |a Q334-342 
050 4 |a TA347.A78 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
100 1 |a Bhanu, Bir.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Human Recognition at a Distance in Video  |h [electronic resource] /  |c by Bir Bhanu, Ju Han. 
250 |a 1st ed. 2010. 
264 1 |a London :  |b Springer London :  |b Imprint: Springer,  |c 2010. 
300 |a XXV, 253 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Advances in Computer Vision and Pattern Recognition,  |x 2191-6594 
505 0 |a to Gait-Based Individual Recognition at a Distance -- Gait-Based Individual Recognition at a Distance -- Gait Representations in Video -- Model-Free Gait-Based Human Recognition in Video -- Discrimination Analysis for Model-Based Gait Recognition -- Model-Based Human Recognition-2D and 3D Gait -- Fusion of Color/Infrared Video for Human Detection -- Face Recognition at a Distance in Video -- Super-Resolution of Facial Images in Video at a Distance -- Evaluating Quality of Super-Resolved Face Images -- Integrated Face and Gait for Human Recognition at a Distance in Video -- Integrating Face Profile and Gait at a Distance -- Match Score Level Fusion of Face and Gait at a Distance -- Feature Level Fusion of Face and Gait at a Distance -- Conclusions for Integrated Gait and Face for Human Recognition at a Distance in Video -- Conclusions and Future Work. 
520 |a Most biometric systems employed for human recognition require physical contact with, or close proximity to, a cooperative subject. Far more challenging is the ability to reliably recognize individuals at a distance, when viewed from an arbitrary angle under real-world environmental conditions. Gait and face data are the two biometrics that can be most easily captured from a distance using a video camera. This comprehensive and logically organized text/reference addresses the fundamental problems associated with gait and face-based human recognition, from color and infrared video data that are acquired from a distance. It examines both model-free and model-based approaches to gait-based human recognition, including newly developed techniques where both the model and the data (obtained from multiple cameras) are in 3D. In addition, the work considers new video-based techniques for face profile recognition, and for the super-resolution of facial imagery obtained at different angles. Finally, the book investigates integrated systems that detect and fuse both gait and face biometrics from video data. Topics and features: Discusses a framework for human gait analysis based on Gait Energy Image, a spatio-temporal gait representation Evaluates the discriminating power of model-based gait features using Bayesian statistical analysis Examines methods for human recognition using 3D gait biometrics, and for moving-human detection using both color and thermal image sequences Describes approaches for the integration of face profile and gait biometrics, and for super-resolution of frontal and side-view face images Introduces an objective non-reference quality evaluation algorithm for super-resolved images Presents performance comparisons between different biometrics and different fusion methods for integrating gait and super-resolved face from video This unique and authoritative text is an invaluable resource for researchers and graduate students of computer vision, pattern recognition and biometrics. The book will also be of great interest to professional engineers of biometric systems. Dr. Bir Bhanu is Distinguished Professor of Electrical Engineering, and Director of the Center for Research in Intelligent Systems, at the University of California, Riverside, USA. Dr. Ju Han is a Specialist at the Energy Biosciences Institute, a joint appointment with the Lawrence Berkeley National Laboratory and the University of California, Berkeley, USA. 
650 0 |a Artificial intelligence. 
650 0 |a Computer vision. 
650 0 |a Pattern recognition systems. 
650 0 |a Computers and civilization. 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Computer Vision. 
650 2 4 |a Automated Pattern Recognition. 
650 2 4 |a Computers and Society. 
700 1 |a Han, Ju.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9780857291233 
776 0 8 |i Printed edition:  |z 9781447126041 
776 0 8 |i Printed edition:  |z 9780857291257 
830 0 |a Advances in Computer Vision and Pattern Recognition,  |x 2191-6594 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-0-85729-124-0  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

Ejemplares similares