Human emotion recognition in video using subtraction pre-processing

Zhihao He, Tian Jin, Amlan Basu, John Soraghan, Gaetano Di Caterina, Lykourgos Petropoulakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

4 Citations (Scopus)
17 Downloads (Pure)


In this paper, we describe a new image pre-processing method, which can show features or important information clearly. Deep learning methods have grown rapidly in the last ten years and have better performance than the traditional machine learning methods in many domains. Deep learning shows its powerful ability particular in difficult multi-classes classification challenges. Video Facial expression recognition is one of the most popular classification topics and will become essential in robotics and auto-motion fields. The new system presented is a combination of new video pre-processing and Convolutional Neural Network (CNN). The new pre-processing method is proposed because we believe individual emotions are dynamic, which means the change of the face is the key feature. RAVDESS is the video set used, to train and test the neural network. From RAVDESS dataset the video songs without audio are taken for focusing on video frames differences. The chosen video set has six different classes of emotions. Each video presents a sentence in a melodious way. Based on the chosen video set, the new system with a new pre-processing method has been designed and trained. Later, the classification result of the new method has been compared with others in which the same dataset for video emotion recognition was used.
Original languageEnglish
Title of host publicationICMLC '19 Proceedings of the 2019 11th International Conference on Machine Learning and Computing
Place of PublicationNew York
Number of pages6
Publication statusPublished - 22 Feb 2019
Event11th International Conference on Machine Learning and Computing - Zhuhai, China
Duration: 22 Feb 201924 Feb 2019
Conference number: 11


Conference11th International Conference on Machine Learning and Computing
Abbreviated titleICMLC 2019
Internet address


  • classification
  • video pre-processing
  • images’ difference
  • emotion recognition
  • neural networks


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