MULTIPLE FACE DETECTION AND TRACKING FROM VIDEO USING HAAR CLASSIFICATION ALGORITHM
Journal Title: World Journal of Engineering Research and Technology - Year 2017, Vol 3, Issue 3
Abstract
Face detection and tracking systems have received increasing interest in the last decade. Face detection and tracking are subfield of biometric information processing and object tracking, respectively. Recent advances in theory and practical implementations made the online detection and tracking system work in real time Face detection and tracking system designed and implemented in this paper exploits a combination of techniques in two topics; Face detection and tracking. Face detection is performed online achieved images from video. Processes exploited in the system are color balance, skin segmentation, and facial image extraction on face candidates. In this paper, intend to implement multiple face detection and tracking the head poses position from high definition video using Haar cascade classifier. Finally, the result from detection part is engaged with a Kalman filter for tracking candidate face in reasonable speed of change the system is tested in practice and have shown to have acceptable performance for tracking faces with in the proposed limits. The proposed will give satisfactory results for multiple faces in live achieved images with in each video frame.
Authors and Affiliations
S. Divya
Keywords
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- EP ID EP658817
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