Pain Facial Expression Recognition from Video Sequences Using Spatio-temporal Local Binary Patterns and Tracking Fiducial Points
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJE-33-5_038
تاریخ نمایه سازی: 25 خرداد 1399
Abstract:
Monitoring the facial expressions of patients in clinical environments is a necessity in addition to vital sign monitoring. Pain monitoring of patients by facial expressions from video sequences eliminates the need for another person to accompany patients. In this paper, a novel approach is presented to monitor the expression of face and notify in case of pain using tracking fiducial points of face in video sequences and spatio-temporal Local Binary Patterns (LBPs) for eyes and eyebrows. The motion of eight fiducial points on facial features such as mouth, eyes, eyebrows are tracked by Lucas-Kanade algorithm and the movement angles are recorded in a feature vector which along with the spatio-temporal histogram of LBPs creates a concatenated feature vector. Spatio-temporal LBPs boost the proposed algorithm to capture minor deformations on eyes and eyebrows. The feature vectors are then compared and classified using the Chi-square similarity measure. Experimental results show that leveraging spatio-temporal LBPs improves the accuracy by 12% on STOIC database.
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Authors
I. Firouzian
Computer Engineering & IT Department, Shahrood University of Technology, Shahrood, Iran
N. Firouzian
Department of Strategic Management, Bank Melli Iran, Tehran, Iran
S. M. R. Hashemi
Computer Engineering & IT Department, Shahrood University of Technology, Shahrood, Iran
E. Kozegar
Faculty of Engineering, East Guilan, University of Guilan, Guilan, Iran