Machine learning techniques for acquiring new knowledge in image tracking

Blanca Rodrguez, Óscar Prez, Jess Garca*, Jos M. Molina

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


The purpose of this research is to apply data mining (DM) to an optimized surveillance video system with the objective of improving tracking robustness and stability. Specifically, the machine learning has been applied to blob extraction and detection, in order to decide whether a detected blob corresponds to a real target or not. Performance is assessed with an Evaluation function, which has been developed for optimizing the video surveillance system. This Evaluation function measures the quality level reached by the tracking system.

Original languageEnglish
Pages (from-to)266-282
Number of pages17
JournalApplied Artificial Intelligence
Issue number3
Publication statusPublished - Mar 2008
Externally publishedYes


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