Visual Event Detection

  • Niels Haering
  • Niels Da Vitoria Lobo

Part of the The International Series in Video Computing book series (VICO, volume 2)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Niels Haering, Niels Da Vitoria Lobo
    Pages 1-17
  3. Niels Haering, Niels Da Vitoria Lobo
    Pages 19-63
  4. Niels Haering, Niels Da Vitoria Lobo
    Pages 65-77
  5. Niels Haering, Niels Da Vitoria Lobo
    Pages 79-110
  6. Niels Haering, Niels Da Vitoria Lobo
    Pages 111-128
  7. Back Matter
    Pages 129-146

About this book

Introduction

Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener­ ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen­ erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de­ rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.

Keywords

artificial intelligence classification computer computer graphics computer vision database image processing intelligence video compression

Authors and affiliations

  • Niels Haering
    • 1
  • Niels Da Vitoria Lobo
    • 2
  1. 1.DiamondBack Vision, IncRestonUSA
  2. 2.School of Electrical Engineering and Computer ScienceUniversity of Central FloridaOrlandoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4757-3399-0
  • Copyright Information Springer-Verlag US 2001
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4419-4907-3
  • Online ISBN 978-1-4757-3399-0
  • Series Print ISSN 1571-5205
  • About this book