@book {12505,
	title = {Statistical Methods and Models for Video-Based Tracking, Modeling, and Recognition},
	year = {2010},
	month = {2010///},
	publisher = {Now Publishers Inc},
	organization = {Now Publishers Inc},
	abstract = {Computer vision systems attempt to understand a scene and its components from mostly visual information. The geometry exhibited by the real world, the influence of material properties on scattering of incident light, and the process of imaging introduce constraints and properties that are key to solving some of these tasks. In the presence of noisy observations and other uncertainties, the algorithms make use of statistical methods for robust inference. Statistical Methods and Models for Video-based Tracking, Modeling, and Recognition highlights the role of geometric constraints in statistical estimation methods, and how the interplay of geometry and statistics leads to the choice and design of algorithms. In particular, it illustrates the role of imaging, illumination, and motion constraints in classical vision problems such as tracking, structure from motion, metrology, activity analysis and recognition, and appropriate statistical methods used in each of these problems.},
	keywords = {Computers / Computer Vision \& Pattern Recognition, Computers / Image Processing, Technology \& Engineering / Electronics / General, Technology \& Engineering / General},
	isbn = {9781601983145},
	author = {Chellapa, Rama and Sankaranarayanan,Aswin C. and Veeraraghavan,Ashok}
}
@book {16863,
	title = {Foundations of Multidimensional And Metric Data Structures},
	year = {2006},
	month = {2006/08/08/},
	publisher = {Morgan Kaufmann},
	organization = {Morgan Kaufmann},
	abstract = {The field of multidimensional data structures is large and growing very quickly. Here, for the first time, is a thorough treatment of multidimensional point data, object and image-based representations, intervals and small rectangles, and high-dimensional datasets. The book includes a thorough introduction; a comprehensive survey to spatial and multidimensional data structures and algorithms; and implementation details for the most useful data structures. Along with the hundreds of worked exercises and hundreds of illustrations, the result is an excellent and valuable reference tool for professionals in many areas, including computer graphics, databases, geographic information systems (GIS), game programming, image processing, pattern recognition, solid modeling, similarity retrieval, and VLSI design. Award Winner in 2006 "Best Book" competition in Professional and Scholarly Publishing from the Association of American Publishers. Morgan Kaufmann would like to congratulate Hanan Samet on receiving the UCGIS 2009 Research Award! Read the announcement here: http://www.ucgis.org/summer2009/researchaward.htm * First comprehensive work on multidimensional data structures available, a thorough and authoritative treatment. * An algorithmic rather than mathematical approach, with a liberal use of examples that allows the readers to easily see the possible implementation and use. * Each section includes a large number of exercises and solutions to self-test and confirm the reader{\textquoteright}s understanding and suggest future directions. * Written by a well-known authority in the area of spatial data structures who has made many significant contributions to the field. The author{\textquoteright}s website includes: Spatial Index Demos},
	keywords = {Computer algorithms, Computers / Computer Graphics, Computers / Computer Vision \& Pattern Recognition, Computers / Data Modeling \& Design, Computers / Data Processing, Computers / Database Management / General, Computers / Programming / General, Computers / User Interfaces, Data structures (Computer science), Science / Physics / General},
	isbn = {9780123694461},
	author = {Samet, Hanan}
}
@book {12628,
	title = {Human identification based on gait},
	year = {2006},
	month = {2006///},
	publisher = {Springer Science \& Business},
	organization = {Springer Science \& Business},
	abstract = {Biometrics now affect many people{\textquoteright}s lives, and is the focus of much academic research and commercial development. Gait is one of the most recent biometrics, with its own unique advantages. Gait recognizes people by the way they walk and run, analyzes movement, which in turn implies analyzing sequences of images. This professional book introduces developments from the laboratories of very distinguished researchers within this relatively new area of biometrics and clearly establishes human gait as a biometric. Human Identification Based on Gait provides a snapshot of all the biometric work in human identification by gait (all major centers for research are indicated in this book). To complete the picture, studies are included from medicine, psychology and other areas wherein we find not only justification for the use of gait as a biometric, but also pointers to techniques and to analysis. Human Identification Based on Gait is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science.},
	keywords = {Biometric identification, Computers / Computer Graphics, Computers / Computer Science, Computers / Computer Vision \& Pattern Recognition, Computers / General, Computers / Information Technology, Computers / Programming / Software Development, Computers / Software Development \& Engineering / Systems Analysis \& Design, Gait in humans, Medical / Physiology, Social Science / Anthropology / Physical},
	isbn = {9780387244242},
	author = {Nixon,Mark S. and Tan,Tieniu and Chellapa, Rama}
}
@book {12621,
	title = {Unconstrained face recognition},
	year = {2006},
	month = {2006///},
	publisher = {Springer Science \& Business},
	organization = {Springer Science \& Business},
	abstract = {Face recognition has been actively studied over the past decade and continues to be a big research challenge. Just recently, researchers have begun to investigate face recognition under unconstrained conditions. Unconstrained Face Recognition provides a comprehensive review of this biometric, especially face recognition from video, assembling a collection of novel approaches that are able to recognize human faces under various unconstrained situations. The underlying basis of these approaches is that, unlike conventional face recognition algorithms, they exploit the inherent characteristics of the unconstrained situation and thus improve the recognition performance when compared with conventional algorithms.Unconstrained Face Recognition is structured to meet the needs of a professional audience of researchers and practitioners in industry. This volume is also suitable for advanced-level students in computer science.},
	keywords = {Computer science, Computer vision, Computers / Computer Graphics, Computers / Computer Science, Computers / Computer Vision \& Pattern Recognition, Computers / General, Computers / Image Processing, Computers / Information Technology, Computers / Information Theory, Computers / Interactive \& Multimedia, Computers / Security / Cryptography, Computers / User Interfaces, Data encryption (Computer science), Data structures (Computer science), Electronic books, Human face recognition (Computer science), IMAGE PROCESSING, Image processing - Digital techniques, multimedia systems, Optical pattern recognition, Science / Life Sciences / Biology},
	isbn = {9780387264073},
	author = {Zhou,S. Kevin and Chellapa, Rama and Zhao,Wenyi}
}
@book {13298,
	title = {Image Analysis and Processing: 8th International Conference, Iciap {\textquoteright}95, San Remo, Italy, September 13-15, 1995 : Proceedings},
	year = {1995},
	month = {1995/09/28/},
	publisher = {Springer},
	organization = {Springer},
	abstract = {This book presents the proceedings of the 8th International Conference on Image Analysis and Processing, ICIAP {\textquoteright}95, held in Sanremo, Italy in September 1995 under the sponsorship of the International Association of Pattern Recognition IAPR.The volume presents 108 papers selected from more than 180 submissions together with six invited contributions. The papers are written by a total of 265 contributing authors and give a comprehensive state-of-the-art report on all current issues of image analysis and processing. Theoretical aspects are addressed as well as systems design and advanced applications, particularly in medical imaging.},
	keywords = {Artificial intelligence, COMPUTER AIDED DESIGN, Computer Graphics, Computer science, Computer vision, Computers / CAD-CAM, Computers / Computer Graphics, Computers / Computer Science, Computers / Computer Vision \& Pattern Recognition, Computers / Image Processing, Computers / Intelligence (AI) \& Semantics, Computers / Optical Data Processing, Computers / Software Development \& Engineering / General, Electronic books, IMAGE PROCESSING, Image processing/ Congresses, Imaging systems, Optical data processing, Optical pattern recognition, software engineering},
	isbn = {9783540602989},
	author = {Braccini,Carlo and De Floriani, Leila and Vernazza,Gianni}
}
