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 (CEA, LIST) - Département Intelligence Ambiante et Systèmes Interactifs
2 LAAS-RAP - Équipe Robotique, Action et Perception

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.

Mots clés: Interacting multiple model; Latency; Pan-tilt-zoom camera; PTZ; Target tracking; Video cameras; Surface discharges; Forecasting; Delay

Domaines: Sciences de l'ingénieur [physics]

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⟩