Publication detail

Visual Surveillance Metadata Management

CHMELAŘ, P. ZENDULKA, J.

Original Title

Visual Surveillance Metadata Management

Type

conference paper

Language

English

Original Abstract

The paper deals with a solution for visual surveillance metadata management. Data coming from many cameras is annotated using computer vision units to produce metadata representing moving objects in their states. It is assumed that the data is often uncertain, noisy and some states are missing. The solution consists of the following three layers: (a) data cleaning layer - improves quality of the data by smoothing it and by filling in missing states in short sequences referred to as tracks that represent a composite state of a moving object in a spatiotemporal subspace followed by one camera. (b) Data integration layer - assigns a global identity to tracks that represent the same object. (c) Persistence layer - manages the metadata in a database so that it can be used for online identification and offline querying, analyzing and mining. A Kalman filter technique is used to solve (a) and a classification based on the moving object's state and its visual properties is used in (b). An object model for layer (c) is presented too.

Keywords

Visual surveillance, metadata management, cameras, vision units, moving objects, data cleaning, integration, persistence, Kalman filter, classification, object model.

Authors

CHMELAŘ, P.; ZENDULKA, J.

RIV year

2007

Released

2. 9. 2007

Publisher

IEEE Computer Society Press

Location

Regensburg

ISBN

978-0-7695-2932-5

Book

Eighteenth International Workshop on Database and Expert Systems Applications

Edition

IEEE CPS

Pages from

79

Pages to

83

Pages count

5

BibTex

@inproceedings{BUT28830,
  author="Petr {Chmelař} and Jaroslav {Zendulka}",
  title="Visual Surveillance Metadata Management",
  booktitle="Eighteenth International Workshop on Database and Expert Systems Applications",
  year="2007",
  series="IEEE CPS",
  pages="79--83",
  publisher="IEEE Computer Society Press",
  address="Regensburg",
  isbn="978-0-7695-2932-5"
}