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

Pierrick Paillet; Romaric Audigier; Frédéric Lerasle; Quoc Cuong Pham

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 [Toulouse]

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

Document type :

Conference papers

Domain :

Engineering Sciences [physics]

Complete list of metadatas

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, June 14, 2019 - 6:31:19 PM

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

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

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