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Performance evaluation of video object tracking algorithm in autonomous surveillance system

Abstract

Results of performance evaluation of a video object tracking algorithm are presented. The method of moving objects detection and tracking is based on background modelling with mixtures of Gaussians and Kalman filters. An emphasis is put on algorithm's efficiency with regards to its settings. Utilized methods of performance evaluation based on comparison of algorithm output to manually prepared reference data are introduced. The experiments aimed at examining the performance achieved with various object detection algorithm parameter settings are presented and discussed

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Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
Proceedings of the 2010 2nd international conference on information technology, ICIT 2010, 28-30 June 2010 strony 31 - 34
Language:
English
Publication year:
2010
Bibliographic description:
Szczodrak M., Dalka P., Czyżewski A.: Performance evaluation of video object tracking algorithm in autonomous surveillance system// Proceedings of the 2010 2nd international conference on information technology, ICIT 2010, 28-30 June 2010/ : Gdańsk University of Technology, Faculty of Electronics, Telecommunications and Informatics, 2010, s.31-34
Verified by:
Gdańsk University of Technology

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