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Object Detection and Recognition in Digital Images

By Boguslaw Cyganek

Object Detection and Recognition in Digital Images Computer Science

Object Detection and Recognition in Digital Images

0 - Default Title
Description
Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: - Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. - Places an emphasis on tensor and statistical based approaches within object detection and recognition. - Provides an overview of image clustering and classifi cation methods which includes subspace and kernel based processing, mean shift and Kalman fi lter, neural networks, and k-means methods. - Contains numerous case study examples of mainly automotive applications. - Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.
Companion Website: http://www.wiley.com/go/cyganekobject
Product details
Edition:
1
Number of Pages:
560
Release Date:
2013-07-23
Publication Date:
2013-08-05
Publisher:
Wiley
Languages:
Original: English
ISBN10:
0470976373
ISBN13:
9780470976371
GPSR Manufacturer Reference:
[email protected]
Weight:
1139 g
Height:
175 cm
Width:
250 cm
Thickness:
35 cm
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