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Sensor and Data Fusion: Taxonomy, Challenges and Applications

Research output: Contribution in Book/Report/ProceedingsChapter (peer-reviewed)

Published

Publication date01/2012
Host publicationHandbook on Soft Computing for Video Surveillance
EditorsS.K. Pal, A. Petrosino, L. Maddalena
Place of publicationUSA
PublisherChapman & Hall
Pages139-183
Number of pages45
ISBN (Print)978-1439856840
Original languageEnglish

Abstract

Sensor and data fusion is a process of paramount importance for many domains and applications. Its potential for rapid data and information processing are of primary importance for surveillance, security, intelligent transportation systems, navigation and communications. Effective use of the data requires the sensor and context data to be aggregated or “fused” in such a way that high quality information results and serves as a basis for decision support. Data fusion encompasses groups of methods for merging various types of data and information. This process is especially important for tracking systems. This chapter presents taxonomy of sensor data fusion methods. Applications from object tracking in video are presented.