Human Motion Recognition Using TMRIs with Extended HOOF
- https://doi.org/10.2991/jrnal.k.201215.004How to use a DOI?
- Human motion, description, recognition, elderly care, crime prevention, MHI, triplet motion representation images, HOOF
In recent years, research on computer vision has shown great advancement and has been applied to a wide range of fields. Among them, automatic recognition of human motion is an important technology especially in crime prevention and elderly watching systems. Considering this trend, the paper proposes a novel method of human motion description and recognition using a motion history image-based method called triplet motion representation images and an extended feature descriptor called histograms of oriented optical flow which contains information on the direction and velocity of movement. One of the advantages of the proposed method over existent methods is that it solves a self-occlusive motion problem particularly in the depth direction which occurs when a single camera is used. The performance and effectiveness of the proposed method are verified by experiments.
- © 2020 The Authors. Published by Atlantis Press B.V.
- Open Access
- This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Jing Cao AU - Youtaro Yamashita AU - Joo Kooi Tan PY - 2020 DA - 2020/12/21 TI - Human Motion Recognition Using TMRIs with Extended HOOF JO - Journal of Robotics, Networking and Artificial Life SP - 231 EP - 235 VL - 7 IS - 4 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.k.201215.004 DO - https://doi.org/10.2991/jrnal.k.201215.004 ID - Cao2020 ER -