Abstract
This article deals with the design and implementation of a prototype of an efficient Low-Cost, Low-Power, Low Complexity–hereinafter (L-CPC) an image recognition system for person detection. The developed and presented methods for processing, analyzing and recognition are designed exactly for inbuilt devices (e.g., motion sensor, identification of property and other specific applications), which will comply with the requirements of intelligent building technologies. The paper describes detection methods using a static background, where, during the search for people, the background image field being compared does not change, and a dynamic background, where the background image field is continually adjusted or complemented by objects merging into the background. The results are compared with the output of the Horn-Schunck algorithm applied using the principle of optical flow. The possible objects detected are subsequently stored and evaluated in the actual algorithm described. The detection results, using the change detection methods, are then evaluated using the Saaty method in order to determine the most successful configuration of the entire detection system. Each of the configurations used was also tested on a video sequence divided into a total of 12 story sections, in which the normal activities of people inside the intelligent building were simulated.
Highlights
Camera systems are increasingly found in the interior of intelligent buildings.These systems are most often used for obtaining a video signal with the aim of recording or online streaming to the control room of the security service, that is, in order to protect people or property, which is the subject of References [1,2]
Such a video signal can be used for detection or identification of persons present in the scene being captured after certain processing [3,4,5,6,7,8,9,10,11]
From our point of view, the variability of background detection methods is crucial for human movements recognizing
Summary
Camera systems are increasingly found in the interior of intelligent buildings.These systems are most often used for obtaining a video signal with the aim of recording or online streaming to the control room of the security service, that is, in order to protect people or property, which is the subject of References [1,2]. Binarization of findings via colour threshold value Within this difference method of frame change detection, three methods are applied to create a static background, where the background is:. Using this method of finding a background for change detection in the frame is very susceptible to changes in the lighting conditions in the scene of the frame compared to this background. The effect of changing the lighting conditions in the scene is minimized, thereby minimizing the effect of unwanted changes in pixel brightness in the frames being analyzed during the subsequent detection The purpose of this method of background creation is neglect of possible dynamically moving objects in the scene at the beginning of the video sequence being captured. An example of using this method is shown in a series of frames Figure 5
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