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Pain Facial Expression Recognition from Video Sequences Using Spatio-temporal Local Binary Patterns and Tracking Fiducial Points

Credit to Download: 1 | Page Numbers 10 | Abstract Views: 45
Year: 2020
COI code: JR_IJE-33-5_038
Paper Language: English

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Authors Pain Facial Expression Recognition from Video Sequences Using Spatio-temporal Local Binary Patterns and Tracking Fiducial Points

  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

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.

Keywords:

Facial expression, Tracking fiducial points, Spatio-temporal, Local Binary Patterns, Pain expression, Video sequences

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COI code: JR_IJE-33-5_038

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Firouzian, I.; N. Firouzian; S. M. R. Hashemi & E. Kozegar, 2020, Pain Facial Expression Recognition from Video Sequences Using Spatio-temporal Local Binary Patterns and Tracking Fiducial Points, International Journal of Engineering (IJE) 33 (5), https://www.civilica.com/Paper-JR_IJE-JR_IJE-33-5_038.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Firouzian, I.; N. Firouzian; S. M. R. Hashemi & E. Kozegar, 2020)
Second and more: (Firouzian; Firouzian; Hashemi & Kozegar, 2020)
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Type: state university
Paper No.: 7087
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