Insan Aktivitelerinin Uzun Kisa Vadeli Hafiza Aǧlari ile Modellenmesi

Translated title of the contribution: Modeling human activities via long short term memory networks

Berkan Solmaz, Kaan Karaman

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

Abstract

The presence of rapidly increasing visual data adds importance to the computer vision studies for automatic analysis and interpretation of content. Although the nervous and sensory systems in humans easily perform the processes such as understanding and recognizing activities that take place on a stage, these processes are among the most challenging research topics of computer vision. The activities vary according to the number of participants. For instance, a single person can perform activities consisting of various atomic actions. In the scenes with more than one person, interactions occur between people. Since interactions are mutual movements between multiple people, both temporal changes in the scene and the spatial structures need to be modeled for analysis. In this study, long short term memory networks and support vector machines, based on the positions and distances of human body joints, are trained for the automated classification of actions and interactions.

Original languageTurkish
Title of host publication27th Signal Processing and Communications Applications Conference, SIU 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728119045
DOIs
StatePublished - Apr 1 2019
Event27th Signal Processing and Communications Applications Conference, SIU 2019 - Sivas, Turkey
Duration: Apr 24 2019Apr 26 2019

Publication series

Name27th Signal Processing and Communications Applications Conference, SIU 2019

Conference

Conference
CountryTurkey
CitySivas
Period4/24/194/26/19

Fingerprint

Computer vision
Support vector machines
Long short-term memory

Keywords

  • Action recognition
  • Human interactions
  • Long short term memory networks
  • Support vector machines

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Signal Processing

Cite this

Solmaz, B., & Karaman, K. (2019). Insan Aktivitelerinin Uzun Kisa Vadeli Hafiza Aǧlari ile Modellenmesi. In 27th Signal Processing and Communications Applications Conference, SIU 2019 [8806573] (27th Signal Processing and Communications Applications Conference, SIU 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIU.2019.8806573

Insan Aktivitelerinin Uzun Kisa Vadeli Hafiza Aǧlari ile Modellenmesi. / Solmaz, Berkan; Karaman, Kaan.

27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8806573 (27th Signal Processing and Communications Applications Conference, SIU 2019).

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

Solmaz, B & Karaman, K 2019, Insan Aktivitelerinin Uzun Kisa Vadeli Hafiza Aǧlari ile Modellenmesi. in 27th Signal Processing and Communications Applications Conference, SIU 2019., 8806573, 27th Signal Processing and Communications Applications Conference, SIU 2019, Institute of Electrical and Electronics Engineers Inc., Sivas, Turkey, 4/24/19. https://doi.org/10.1109/SIU.2019.8806573
Solmaz B, Karaman K. Insan Aktivitelerinin Uzun Kisa Vadeli Hafiza Aǧlari ile Modellenmesi. In 27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8806573. (27th Signal Processing and Communications Applications Conference, SIU 2019). https://doi.org/10.1109/SIU.2019.8806573
Solmaz, Berkan ; Karaman, Kaan. / Insan Aktivitelerinin Uzun Kisa Vadeli Hafiza Aǧlari ile Modellenmesi. 27th Signal Processing and Communications Applications Conference, SIU 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (27th Signal Processing and Communications Applications Conference, SIU 2019).
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