000			03497nas a2200433 a 4500
005			20260818133853.0
008			170717s2014 th u m r 000 a eng d
035			_a.b12186739
099		9	_aAIT Caps. Proj. no.ME-14-15
100	1		_aSenel, Withanage Don Daksitha
245	1	0	_aHuman detection for PTZ camera using histogram oriented gradient
260			_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2014
300			_a53 leaves : _bill. + _e1 online resource
490	1		_aCaps. Proj. ; _vno. ME-14-15
500			_aA Capstone project report submitted in partial fulfillment of the requirements for the Degree of Undergraduate of Area Name in Mechatronic Engineering, School of Engineering and Technology
520			_aMachine Vision is a technology which involves detecting and recognizing of objects in a video or an image. Human eyes are sensitive for electromagnetic waves ranging from 390-770 nms. Video cameras can be sensitive to a range much wider than a human eye. This study is focusing on implementing a method for the machines to see through objects (in this case, humans) as a human eye. For this implementation, the detection speed and the accuracy of the detection are two main parameters that should be considered. Thus an implementation of a robust human detection method using open source computer vision (OpenCV) libraries was done. To achieve the wide range of detection space, an IP camera with PTZ controlling system is used. For a robust human detecting method, HOG with linear SVM has been selected. In order to increase the computational performances and achieve a real time detection, AMD OpenCL parallel programming was used. The system accuracy was determined under different conditions of pan, tilt and zoomed. The accuracies ranged between 97-99% in pan and tilt operations and 76% accuracy in zooming were achieved. Detection speed was enhanced by four times by the conventional HOG descriptor as well. This system can be further improved and enhanced for better use of human detection for the benefit of the technology of Machine Vision.
502			_aCapstone Project (B. Sc.) - Asian Institute of Technology, 2014
650		0	_aImage processing _xDigital techniques
650		0	_aComputer vision
650		0	_aSignal detection
700	0		_aSomrak Petchartee, _eChairperson
700	0		_aManukid Parnichkun, _eExamination Committee
700	0		_aMongkol Ekpanyapong, _eExamination Committee
810	2		_aAsian Institute of Technology. _tCaps. Proj. ; _vno. ME-14-15
856			_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B12002
907			_a.b12186739 _bmnait _cm
902			_a240417
998			_b0 _c170717 _dm _ea _fm _g0
962			_a000:001:PDF:b1218673:003216:0:0:0:0:0:0 _tClick to view Abstract _vn
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