Visual Objects Description for Their Re-identification in Multi-Camera Systems

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 183)

Abstract

The topic of object tracking in video surveillance systems, is addressed in this work. An introduction to techniques of single camera and multi camera object tracking is presented. The problem of robust visual object description is discussed. Implemented image parameterization methods, including algorithms based on the MPEG-7 standard, are shown. Examples of the prepared dataset from a multi-camera system are presented. Chosen descriptors evaluation, employing this dataset, is performed. Descriptors evaluation procedure is described in detail. The results utilizing distance measures are compared. Conclusions based on performed experiments are described. Scope of the future work is outlined.

Keywords

Local Binary Pattern Color Histogram Single Camera Object Description Video Surveillance System 
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 Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Gdansk University of TechnologyGdanskPoland

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