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Applications of Visual Analysis of Human Behaviour

This special issue focuses on the applications of the visual analysis of human behaviour, which is intended to encourage development of innovative theoretical and/or application-based solutions to help enhancing the pace and quality of the progress in the context of the main topic. Original research and review articles are welcome.

Edited by: Gholamreza Anbarjafari, Sergio Escarela, Kamal Nasrollahi, Hasan Demirel, Cagri Ozcinar, Hiroaki Kawashima

  1. This study proposes a novel network model for video action tube detection. This model is based on a location-interactive weakly supervised spatial–temporal attention mechanism driven by multiple loss functions...

    Authors: Jinlei Zhu, Houjin Chen, Pan Pan and Jia Sun
    Citation: EURASIP Journal on Image and Video Processing 2022 2022:10
  2. We propose the first non-invasive three-layer architecture in literature based on neural networks that aims to determine the Big Five personality traits of an individual by analyzing offline handwriting. We al...

    Authors: Mihai Gavrilescu and Nicolae Vizireanu
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:57
  3. We propose a vision-based method for recognizing first-person reading activity with deep learning. For the success of deep learning, it is well known that a large amount of training data plays a vital role. Un...

    Authors: Yuta Segawa, Kazuhiko Kawamoto and Kazushi Okamoto
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:33
  4. In this work, a secure multibiometric system is proposed. Three different biometric modalities which are ear, face, and thermal face are considered. The face and thermal face data were taken from USTC NVIE Spo...

    Authors: Kadir Sercan Bayram and Bülent Bolat
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:32
  5. We introduce a novel spatiotemporal deformable part model for the localization of fine-grained human interactions of two persons in unsegmented videos. Our approach is the first to classify interactions and ad...

    Authors: Coert van Gemeren, Ronald Poppe and Remco C. Veltkamp
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:16
  6. Representing the features of different types of human action in unconstrained videos is a challenging task due to camera motion, cluttered background, and occlusions. This paper aims to obtain effective and co...

    Authors: Zhengkui Weng and Yepeng Guan
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:8
  7. Human activity monitoring in the video sequences is an intriguing computer vision domain which incorporates colossal applications, e.g., surveillance systems, human-computer interaction, and traffic control sy...

    Authors: Muhammad Sharif, Muhammad Attique Khan, Tallha Akram, Muhammad Younus Javed, Tanzila Saba and Amjad Rehman
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:89
  8. Human activity recognition requires both visual and temporal cues, making it challenging to integrate these important modalities. The usual schemes for integration are averaging and fixing the weights of both ...

    Authors: Novanto Yudistira and Takio Kurita
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:85
  9. Automatic prediction of personalities from meeting videos is a classical machine learning problem. Psychologists define personality traits as uncorrelated long-term characteristics of human beings. However, hu...

    Authors: Ahmet Alp Kindiroglu, Lale Akarun and Oya Aran
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:77
  10. Human action recognition is an increasingly matured field of study in the recent years, owing to its widespread use in various applications. A number of related research problems, such as feature representatio...

    Authors: Saimunur Rahman, John See and Chiung Ching Ho
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:74
  11. In this paper, we address the problem of classifying activities of daily living (ADL) in video. The basic idea of the proposed method is to treat each human activity in the video as a temporal sequence of poin...

    Authors: Yixiao Yun and Irene Yu-Hua Gu
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:72
  12. In the field of medicine, with the introduction of computer systems that can collect and analyze massive amounts of data, many non-invasive diagnostic methods are being developed for a variety of conditions. I...

    Authors: Murat Aykanat, Özkan Kılıç, Bahar Kurt and Sevgi Saryal
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:65
  13. Depression is the most prevalent mood disorder and a leading cause of disability worldwide. Automated video-based analyses may afford objective measures to support clinical judgments. In the present paper, cat...

    Authors: Anastasia Pampouchidou, Matthew Pediaditis, Anna Maridaki, Muhammad Awais, Calliope-Marina Vazakopoulou, Stelios Sfakianakis, Manolis Tsiknakis, Panagiotis Simos, Kostas Marias, Fan Yang and Fabrice Meriaudeau
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:64
  14. We propose a novel three-layered neural network-based architecture for predicting the Sixteen Personality Factors from facial features analyzed using Facial Action Coding System. The proposed architecture is b...

    Authors: Mihai Gavrilescu and Nicolae Vizireanu
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:59