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Segmentation in Video Data

Part of the Undergraduate Topics in Computer Science book series (UTICS)

Abstract

A video sequence is in principle a sequence of images. The methods presented in the previous chapters therefore apply equally well to a video sequence as to an image. One image is simply processed at a time. There are, however, two differences between a video sequence and an image. First, working with video allows us to consider temporal information and hence segment objects based on their motion. Second, video acquisition and image acquisition may not be the same, and that can have some consequences. The latter is first considered by describing the notion of the framerate of the camera together with how video data is compressed. Next the chapter details the most fundamental segmentation algorithm related to video data, namely background subtraction. The principal of the core functionality is laid out followed by different schemes of optimizing the method. Finally the related image differencing method is presented.

Keywords

Video Sequence Reference Image Background Subtraction Video Data Image Difference 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag London Limited 2012

Authors and Affiliations

  1. 1.Visual Analysis of People Laboratory, Department of Architecture, Design, and Media TechnologyAalborg UniversityAalborgDenmark

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