An evidential fusion architecture for people surveillance in wide open areas

M. Fornaciari; D. Sottara; A. Prati; P. Mello; R. Cucchiara

doi:10.1007/978-3-642-21219-2_31

An evidential fusion architecture for people surveillance in wide open areas

M. Fornaciari, D. Sottara, A. Prati, P. Mello, R. Cucchiara

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A new evidential fusion architecture is proposed to build an hybrid artificial intelligent system for people surveillance in wide open areas. Authorized people and intruders are identified and localized thanks to the joint employment of cameras and RFID tags. Complex Event Processing and Transferable Belief Model are exploited for handling noisy data and uncertainty propagation. Experimental results on complex synthetic scenarios demonstrate the accuracy of the proposed solution.

Original language	English (US)
Title of host publication	Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings
Publisher	Springer Verlag
Pages	239-246
Number of pages	8
Edition	PART 1
ISBN (Print)	9783642212185
DOIs	https://doi.org/10.1007/978-3-642-21219-2_31
State	Published - 2011
Externally published	Yes

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6678 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-642-21219-2_31

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Fornaciari, M., Sottara, D., Prati, A., Mello, P., & Cucchiara, R. (2011). An evidential fusion architecture for people surveillance in wide open areas. In Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings (PART 1 ed., pp. 239-246). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6678 LNAI, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-21219-2_31

An evidential fusion architecture for people surveillance in wide open areas. / Fornaciari, M.; Sottara, D.; Prati, A.; Mello, P.; Cucchiara, R.

Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1. ed. Springer Verlag, 2011. p. 239-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6678 LNAI, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fornaciari, M, Sottara, D, Prati, A, Mello, P & Cucchiara, R 2011, An evidential fusion architecture for people surveillance in wide open areas. in Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6678 LNAI, Springer Verlag, pp. 239-246. https://doi.org/10.1007/978-3-642-21219-2_31

Fornaciari M, Sottara D, Prati A, Mello P, Cucchiara R. An evidential fusion architecture for people surveillance in wide open areas. In Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1 ed. Springer Verlag. 2011. p. 239-246. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). https://doi.org/10.1007/978-3-642-21219-2_31

Fornaciari, M. ; Sottara, D. ; Prati, A. ; Mello, P. ; Cucchiara, R. / An evidential fusion architecture for people surveillance in wide open areas. Hybrid Artificial Intelligent Systems - 6th International Conference, HAIS 2011, Proceedings. PART 1. ed. Springer Verlag, 2011. pp. 239-246 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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An evidential fusion architecture for people surveillance in wide open areas

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ASJC Scopus subject areas

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