Reducing False Alarm of Video-Based Smoke Detection by Support Vector Machine
PAISI, PACCF and SOCO '08 Proceedings of the IEEE ISI 2008 PAISI, PACCF, and SOCO international workshops on Intelligence and Security Informatics
Smoke detection in video surveillance: a MoG model in the wavelet domain
ICVS'08 Proceedings of the 6th international conference on Computer vision systems
Early recognition of smoke in digital video
ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
Fire surveillance method based on quaternionic wavelet features
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
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In this paper, some applications of motion analysis are investigated for a compact panoramic optical system (Panoramic Annular Lens). Panoramic image acquisition makes multiple or mechanically controlled camera systems needless for many applications. Panoramic Annular Lens' main advantage to other omnidirectional monitoring systems is that it is a cheap, small, compact device with no external hyperboloidal, spherical, conical or paraboloidal reflecting surface as in other panoramic optical devices. By converting the annular image captured with an NTSC camera to a rectangular one, we get a low-resolution (cc. 2.8 pixels/degree horizontally and 3 pixels/degree vertically) image. We have developed algorithms, which can analyze this low-resolution image to yield motion information for surveillance and smoke detection.