Title :
Motion detection using a USB camera
Author_Institution :
Dept. of Inf. Technol., Univ. of Hradec Kralove, Hradec Kralove, Czech Republic
Abstract :
Security issues are discussed nowadays at all areas of our day life. Monitoring of objects as well as peoples (does not matter if from good or bad idea) is needed at every place and every time. Problem can be seen only in the large amount of financial costs for hardware devices and needed space for video recording. Our goal is to design and develop a low cost solution for monitoring of various areas (view of camera), which are needed to cover. We use a standard USB camera attached to a PC/laptop via a USB port, or embedded laptop camera to monitor of some space. USB camera has the task of scanning the surroundings and in case of detection of some movements (of people or objects) to begin a recording operation of video stream which can be stored on a local data store. Advantage of such solution is multi camera possibility. Paper also deals with motion detection method description using a differential method. Change of the input video using the grayscale method and other adjustments associated with the elimination of noisy areas and the preparation of imaging to detect (Thresholding-thresholding, Erosion, edge detection) was also used as part of the project was also used. By these minor adjustments it is possible to achieve smaller error rate in detection, what results in filtration of external influences (such as weather changes).
Keywords :
edge detection; image motion analysis; image segmentation; image sensors; object detection; peripheral interfaces; video streaming; PC-laptop; USB camera; USB port; edge detection; embedded laptop camera; external influence filtration; financial costs; grayscale method; hardware devices; motion detection; movements detection; multicamera; security issues; thresholding-thresholding; video stream recording operation; Cameras; Gray-scale; Image color analysis; Image edge detection; Motion detection; Noise; Universal Serial Bus; C#; Camera; Low Cost; Motion Detection;
Conference_Titel :
Intelligent Engineering Systems (INES), 2013 IEEE 17th International Conference on
Conference_Location :
San Jose
Print_ISBN :
978-1-4799-0828-8
DOI :
10.1109/INES.2013.6632827