Yazar "Ak, Duygu Selin" seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Öğe
    Human action recognition approaches with video datasets-A survey
    (Elsevier B.V., 2021) Özyer, Tansel; Ak, Duygu Selin; Alhajj, Reda
    Human Activity Recognition has recently attracted considerable attention. This has been triggered by the rapid development of advance technologies and learning methods. Human action recognition can be actively used in a number of application domains which may positively influence various aspects of the daily life. These include, (1) preventing dangerous activities and detection of crimes such as theft, murder, and property damage, and (2) predicting pedestrian activities in traffic, among others. To better serve these applications and the like, it is essential to highlight the various aspects related to the existing methods so that their actual users could realize and identify the good performing methods that work fast and are capable of recognizing the correct activities with high accuracy. The latter scope is covered in this survey which summarizes and analyzes the methods that perform learning and analysis processes on video datasets to grasp a new perspective on human action recognition. The survey also covers the major datasets commonly used in human activity recognition research. Accordingly, this survey could be recognized as a valuable source for researchers and practitioners.
  • Küçük Resim
    Öğe
    Recent trends in emotion analysis: A big data analysis perspective
    (IEEE-Institute of Electrical and Electronics Engineers, 2020) Özyer, Tansel; Ak, Duygu Selin; Alhajj, Reda
    Human action recognition has recently started to find its way into applications in different applications. Accordingly, human action recognition methods are becoming increasingly important in our daily life. They are used for different purposes such as automation, security, surveillance, health, smart home systems, and customer behaviour prediction, among others. Though have more systems with methods provides a rich pool of choices, it is important to well understand the performance of these systems and their success rates in recognizing the right activities in order to decide on the most appropriate system for the current application domain. This survey tackles this issue by analyzing and commenting on the available human action recognition systems and methods.