A Human-Object Interaction Detection Method Inspired by Human Body Part Information

In recent years, with the rapid development of big data and computer hardware, deep learning has regained vitality, and the field of computer vision has made great progress. Human Object Interaction (HOI) Detection is an important subject for image understanding in computer vision, which has not been effectively solved yet. Aiming at the problem that the human pose information is not effectively used in the current HOI detection methods, an HOI detection method that integrates human body part information (HBP) is proposed. By applying human body part information to HOI detection, it makes the best of the relationship between parts and objects that effectively improves detection performance. The experiments and results on Verbs in COCO (V-COCO) dataset show the effectiveness of our method.