Performance Evaluation Software

Moving Object Detection and Tracking in Videos

  • Bahadir Karasulu
  • Serdar Korukoglu

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Bahadir Karasulu, Serdar Korukoglu
    Pages 1-5
  3. Bahadir Karasulu, Serdar Korukoglu
    Pages 7-30
  4. Bahadir Karasulu, Serdar Korukoglu
    Pages 31-37
  5. Bahadir Karasulu, Serdar Korukoglu
    Pages 39-49
  6. Bahadir Karasulu, Serdar Korukoglu
    Pages 51-63
  7. Bahadir Karasulu, Serdar Korukoglu
    Pages 65-66
  8. Back Matter
    Pages 67-76

About this book

Introduction

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), etc. 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, etc. 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.

Keywords

Image Processing People Detection People Tracking Performance Evaluation Video Processing

Authors and affiliations

  • Bahadir Karasulu
    • 1
  • Serdar Korukoglu
    • 2
  1. 1., Department of Computer EngineeringCanakkale Onsekiz Mart UniversityCanakkaleTurkey
  2. 2., Department of Computer EngineeringEge UniversityBornovaTurkey

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-6534-8
  • Copyright Information The Author(s) 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-6533-1
  • Online ISBN 978-1-4614-6534-8
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book