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14 May 2019 Kalman-based motion estimation in video surveillance systems for safety applications
Sergio Saponara
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Proceedings Volume 10996, Real-Time Image Processing and Deep Learning 2019; 109960I (2019) https://doi.org/10.1117/12.2519540
Event: SPIE Defense + Commercial Sensing, 2019, Baltimore, MD, United States
Abstract
The paper presents the design of a Kalman-based motion estimation algorithm to be used in video surveillance systems for safety applications, such as smoke and fire fast alarm generation. Particularly, the Kalman estimator, combined with a color detection method, allows detecting the presence of smoke and/or fire in video scenes. Hence, it is a key device for indoor and outdoor surveillance systems using video-cameras.
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Sergio Saponara "Kalman-based motion estimation in video surveillance systems for safety applications", Proc. SPIE 10996, Real-Time Image Processing and Deep Learning 2019, 109960I (14 May 2019); https://doi.org/10.1117/12.2519540
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KEYWORDS
Video
Video surveillance
Motion estimation
Video processing
Safety
Feature extraction
Filtering (signal processing)
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