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Performance Evaluation Software : Moving Object Detection and Tracking in Videos / by Bahadir Karasulu, Serdar Korukoglu.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Author/Creator:
Karasulu, Bahadir, author.
Korukoglu, Serdar, author.
Contributor:
SpringerLink (Online service)
Series:
Computer Science (Springer-11645)
SpringerBriefs in computer science 2191-5768
SpringerBriefs in Computer Science, 2191-5768
Language:
English
Subjects (All):
Multimedia systems.
User interfaces (Computer systems).
Multimedia Information Systems.
User Interfaces and Human Computer Interaction.
Local Subjects:
Multimedia Information Systems.
User Interfaces and Human Computer Interaction.
Physical Description:
1 online resource (XV, 76 pages) : 11 illustrations.
Edition:
First edition 2013.
Contained In:
Springer eBooks
Place of Publication:
New York, NY : Springer New York : Imprint: Springer, 2013.
System Details:
text file PDF
Summary:
Performance Evaluation Software: Moving Object Detection and Tracking in Videos introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS), Optical Flow (OF), et cetera An important problem for performance evaluation is the absence of any stable and flexible software for comparison of different algorithms. In this frame, we have designed and implemented the software for comparing and evaluating the well-known video object D&T algorithms on the same platform. This software is able to compare them with the same metrics in real-time and on the same platform. It also works as an automatic and/or semi-automatic test environment in real-time, which uses the image and video processing essentials, e.g. morphological operations and filters, and ground-truth (GT) XML data files, charting/plotting capabilities, et cetera Along with the comprehensive literature survey of the abovementioned video object D&T algorithms, this book also covers the technical details of our performance benchmark software as well as a case study on people D&T for the functionality of the software.
Contents:
Introduction
Moving Object Detection and Tracking in Videos
A Software Approach to Performance Evaluation
Performance Measures and Evaluation
A Case Study: People Detection and Tracking in Videos
Conclusion.
Other Format:
Printed edition:
ISBN:
978-1-4614-6534-8
9781461465348
Access Restriction:
Restricted for use by site license.

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