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- 저자 : Dharam Veer Sharma (검색결과 1 건)
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A Review of Vision-Based Techniques Applied to Detecting Human-Object Interactions in Still Images
Sunaina,Ramanpreet Kaur,Dharam Veer Sharma 한국정보과학회 2021 Journal of Computing Science and Engineering Vol.15 No.1
Due to the rising demand for automatic interpretation of visual relationships in several domains, human-object interaction (HOI) detection and recognition have also gained more attention from researchers over the last decade. This survey paper concentrates on human-centric interactions, which can be categorized as human-to-human and human-to-objects. Although an extensive amount of research work has been done in this area, real-world constraints like the domain of possible interactions make the research a challenging task. This paper provides an analysis of conventional hand-crafted representation-based methods and recent deep learning-based methods, ongoing advancements taking place in the field of HOI recognition and detection, and challenges faced by the researchers. Moreover, we present a detailed picture of publicly available datasets for HOI evaluations. At the end, the future scope of the study is discussed.
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