Face tracking with camshift algorithm for detecting student movement in a class. (July 2019)

• Record Type: Journal Article
• Authors: Harahap, M; Manurung, A; Priya, ; Prakoso, A; Tambunan, M F
• Is Part Of: Journal of physics. Volume 1230(2019)
• Publication Date: 2019-07
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1230/1/012018
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Face detection (face tracking) has been widely applied for various purposes, including in the fields of entertainment, education and security. Face detection can certainly be done with the camera in real time. For example on a camera on a laptop or camera in a room in real time will detect facial movements. Face detection is implemented using the camshift algorithm. The camshift algorithm works on a search window that can find facial movements in each frame. The camshift algorithm that has been applied can calculate the size and location of the search window that will be used for the next frame. The camshift algorithm can be used for detection such as face detection. The distribution used is hue in the HSV color dimension (Hue, Saturation, Value). The use of this hue distribution is done to overcome differences in human skin color and the background used when taking frames.