000			01819ntm a2200289 a 4500
001			vtls000094248
003			KUKTEM
005			20251117113318.0
008			160404t2015 my a f 000 0 eng d
020			_aTHE0005359(Local)
039		9	_a201905151206 _bhanafiah _c201711301427 _dfateeha _y201604041647 _zhuda
040			_aUMP
090			_aFKP .J46 2015 r Bc.
100	1		_aSak, Jenn Shin
245	1	0	_aNight vision camera system for intruder detection in indoor and outdoor environment / _cSak Jenn Shin
260			_aKuantan, Pahang : _bUMP, _c2015
300			_axiv, 36 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM
500			_aFaculty of Manufacturing Engineering
502			_aProject Paper (Bachelor of Mechatronic Engineering) -- Universiti Malaysia Pahang – 2015
504			_aBibliography: p. 30
520	3		_aThis project presents the detection of intruder existence by using a night vision camera system in indoor and outdoor environment. The entire project is done by using image processing techniques via OpenCV which run on Linux environment. The challenge of this project focuses on the detection ability of intruder by using a webcam at a fixed distance in low light condition. The histogram is generated to show the tonal variations and distribution of every frame of the images. Intruders can be detected by detecting the changes occur in the foreground image and the changes of histogram from the real-time video streaming through the webcam.
610	2	0	_aFaculty of Manufacturing Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
856	4	0	_uhttp://ecollib.ump.edu.my/id/eprint/26021 _zAccess in library only
999			_aVIRTUA40 _c6543 _d6549
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992