Knowledge-Based Visual Context-Aware Framework for Applications in Robotic Services

Doosoo Chang, Bohyung Han; Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2023, pp. 70-78

Recently, context awareness in vision technologies has become essential with the increasing demand for real-world applications, such as surveillance systems and service robots.|However, implementing context awareness with an end-to-end learning-based system limits its extensibility and performance because the context varies in scope and type, but related data are mostly rare.|To mitigate these limitations, we propose a visual context-aware framework composed of independent processes of visual perception and context inference.|The framework performs logical inferences using the abstracted visual information of recognized objects and relationships based on our knowledge representation.|We demonstrate the scalability and utility of the proposed framework through experimental cases that present stepwise context inferences applied to robotic services in different domains.