Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : June 01, 2022 - June 04, 2022
To understand human-centric images and videos, detecting human-object interactions is an important probrem. Motion recognition based on skeleton information has been studied, but it is not possible to accurately estimate target object using only skeleton information. Therefore, we propose a method for detecting human-object interactions using the skeleton information in conjuction with the object recognition information. We define object-specific interaction by this method. Our hypothesis is that by training human-object interactions using the same recognition method as a human, sufficient recognition accuracy can be obtained even with a small dataset. Since we use only coordinates for training, robust recognition is possible in various situations.
