A Method for Detecting Hands Moving Objects from Videos

Rikuto Konishi, Toru Abe, Toru Abe, Takuo Suganuma, Takuo Suganuma

2025

Abstract

In this paper, we propose a novel method to recognize human actions of moving objects with their hands from video. Hand-object interaction plays a central role in human-object interaction, and the action of moving an object with the hand is also important as a reliable clue that a person is touching and affecting the object. To detect such specific actions, it is expected that detection model training and model-based detection can be made more efficient by using features designed to appropriately integrate different types of information obtained from the video. The proposed method focuses on the knowledge that an object moved by a hand shows movements similar to those of the forearm. Using this knowledge, our method integrates skeleton and motion information of the person obtained from the video to evaluate the difference in movement between the forearm region and the surrounding region of the hand, and detects the hand moving an object by determining whether the similar movements as the forearm occur around the hand from these differences.

Paper Citation

in Harvard Style

Konishi R., Abe T. and Suganuma T. (2025). A Method for Detecting Hands Moving Objects from Videos. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP; ISBN 978-989-758-728-3, SciTePress, pages 392-399. DOI: 10.5220/0013167800003912

in Bibtex Style

@conference{visapp25,
author={Rikuto Konishi and Toru Abe and Takuo Suganuma},
title={A Method for Detecting Hands Moving Objects from Videos},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP},
year={2025},
pages={392-399},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013167800003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2: VISAPP
TI - A Method for Detecting Hands Moving Objects from Videos
SN - 978-989-758-728-3
AU - Konishi R.
AU - Abe T.
AU - Suganuma T.
PY - 2025
SP - 392
EP - 399
DO - 10.5220/0013167800003912
PB - SciTePress