Abstract
Night time surveillance is an important task for existing monitoring solutions. There is a need for low cost and high light-insensitivity solution. In this paper we present a results acquired during night indoor surveillance using three common vision devices and RGB-D camera. Experiments were performed in full light, minimal light and pulsating light simulating light alarm. Additionally 20 people were asked to recognize person in the selected frames of the acquired video sequences. Comparison of detection results and questionnaires answer charts are presented. It is presented that RGB-D cameras show great potential for low cost constant autonomous indoor surveillance regardless of the light conditions in the room.
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Jędrasiak, K., Nawrat, A. (2013). The Comparison of Capabilities of Low Light Camera, Thermal Imaging Camera and Depth Map Camera for Night Time Surveillance Applications. In: Nawrat, A., Simek, K., Świerniak, A. (eds) Advanced Technologies for Intelligent Systems of National Border Security. Studies in Computational Intelligence, vol 440. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31665-4_10
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DOI: https://doi.org/10.1007/978-3-642-31665-4_10
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