Property protection system based on Omni-Directional Vision Sensors

In this paper, a surveillance system which provides the protection for property in public places is proposed. Firstly, aiming at the problem of small visual field, Omni-Directional Vision Sensors (ODVS) which has 360 degree and non-dead-angle view is used to capture panoramic images of scene. Second...

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Hauptverfasser:	Yiping Tang, Feihu Hu, Guanbao Yang, Bei Lin
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Adaptation model computer vision different frame rates Feature extraction Gauss multimodal backgrounds Image edge detection Object detection ODVS Pixel Real time systems Sensors stolen objects detection thief tracking
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Beschreibung
Zusammenfassung:	In this paper, a surveillance system which provides the protection for property in public places is proposed. Firstly, aiming at the problem of small visual field, Omni-Directional Vision Sensors (ODVS) which has 360 degree and non-dead-angle view is used to capture panoramic images of scene. Secondly, two backgrounds are constructed for detecting a temporarily stationary object, which one is short-term and another is long-term. At last, find out the real thief among the people in the scene and capture the details of it.
DOI:	10.1109/CISP.2010.5648316