Human Facial Activity Recognition using RGBD Videos

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Ghanbarpour Jooybari, Mohsen | 2015

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Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 47580 (19)
University: Sharif University of Technology
Department: Computer Engineering
Advisor(s): Jamzad, Mansoor
Abstract:
Human facial activity recognition is one of the endeavors to improve human-computer interaction. Recognition of excitements and emotions on human face by machine and makinga corresponding reaction is essential for man machine intraction.The purpose of this project is recognizingactivities such as speaking, eating, laughing, agree and disagree which have more complexity than usualemotions such as fear and happinesscontained in common datasets.So, adataset in accordance with the above mentioned 5 activities was collected and the appropriate feature vector for analyzing these face activities were implemented.Distance between the interest points located on the face were used as parameters in the feature vector and support vector machine was used to classify the face activities. To check the generality of the proposed method, theproposed algorithm wasapplied on a standard datasetas well. The experimental results showed the validity of the proposed method in both the standard data set and the dataset generated in this research
Keywords:
RGB-D Camera ; Machine Vision ; Human Computer Interaction (HCI) ; Kinect Sensor ; Facial Expression Recognition ; Facial Activity Recognition

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