Perception-prediction-control architecture for IP Pan-Tilt-Zoom camera through interacting multiple models

Pierrick Paillet 1 Romaric Audigier 1 Frédéric Lerasle 2 Quoc Cuong Pham 1
1 DIASI - Département Intelligence Ambiante et Systèmes Interactifs
2 LAAS-RAP - Équipe Robotique, Action et Perception
LAAS - Laboratoire d'analyse et d'architecture des systèmes
Abstract : IP Pan-Tilt-Zoom cameras (IP PTZ) are now common in videosurveillance areas as they are easy to deploy and can take high resolution pictures of targets in a large field of view thanks to their pan-tilt and zoom capabilities. However the closer the view is, the higher is the risk to lose your target. Furthermore, off-the-shelf cameras used in large videosurveillance areas present important motion delays. In this paper, we suggest a new motion control architecture that manages tracking and zoom delays by an Interacting Multiple Models analysis of the target motion, increasing tracking performances and robustness.
Keywords : Delay Interacting multiple model Latency Pan-tilt-zoom camera PTZ Target tracking Video cameras Surface discharges Forecasting
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Conference papers
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https://hal-cea.archives-ouvertes.fr/cea-01844449
Contributor : Léna Le Roy <>
Submitted on : Thursday, July 19, 2018 - 1:31:17 PM
Last modification on : Friday, January 10, 2020 - 9:10:11 PM

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  • HAL Id : cea-01844449, version 1

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Pierrick Paillet, Romaric Audigier, Frédéric Lerasle, Quoc Cuong Pham. Perception-prediction-control architecture for IP Pan-Tilt-Zoom camera through interacting multiple models. 9th International Conference on Computer Vision Theory and Applications, VISAPP 2014, Jan 2014, Lisbon, Portugal. pp.314-324. ⟨cea-01844449⟩

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