1 AIT Asian Institute of Technology

Human detection for PTZ camera using histogram oriented gradient

AuthorSenel, Withanage Don Daksitha
Call NumberAIT Caps Proj no.ME-14-15
Subject(s)Image processing--Digital techniques
Computer vision
Signal detection

NoteA 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
PublisherAsian Institute of Technology
Series StatementCaps. Proj. ; no. ME-14-15
AbstractMachine 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.
Year2014
Corresponding Series Added EntryAsian Institute of Technology. Caps. Proj. ; no. ME-14-15
TypeCapstone Project
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Industrial Systems Engineering (DISE)
Academic Program/FoSMicroelectronics (ME)
Chairperson(s)Somrak Petchartee;
Examination Committee(s)Manukid Parnichkun;Mongkol Ekpanyapong;
DegreeCapstone Project (M.Eng.) - Asian Institute of Technology, 2014


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