Interactive pose calibration of a set of cameras for video surveillance

Manzo, Gaetano; Serratosa, Francesc; Vento, Mario (6 September 2016). Interactive pose calibration of a set of cameras for video surveillance. In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA2016. Berlin, Germany. 06-09 Sep 2016. 10.1109/ETFA.2016.7733663

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There has been an increase of video surveillance systems in operation in public areas. The classical systems simply send the images to monitors. Nevertheless, there is a demand on giving more intelligence on these systems and asking them to automatically track objects or recognize people. One of the basic low-level tasks that these systems have to face with is the accurate deduction of the cameras' poses. We present a method that deducts these poses in an interactive way when the automatic method fails or generates a large error. The user is asked for mapping some points between the images from these cameras when the alignment between them fails in a completely automatic way. Experimental validation has demonstrated that with really few interactions, the reduction of the pose error is considerable.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

Language:

English

Submitter:

Sayed Ali Marandi

Date Deposited:

28 Nov 2017 08:36

Last Modified:

28 Nov 2017 08:37

Publisher DOI:

10.1109/ETFA.2016.7733663

BORIS DOI:

10.7892/boris.106862

URI:

https://boris.unibe.ch/id/eprint/106862

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