Computer vision is a broad field of study that encompasses different tasks
(e.g., object detection, semantic segmentation, 3D reconstruction). Although
computer vision is relevant to the African communities in various applications,
yet computer vision research is under-explored in the continent and constructs
only 0.06% of top-tier publications in the last 10 years. In this paper, our
goal is to have a better understanding of the computer vision research
conducted in Africa and provide pointers on whether there is equity in research
or not. We do this through an empirical analysis of the African computer vision
publications that are Scopus indexed. We first study the opportunities
available for African institutions to publish in top-tier computer vision
venues. We show that African publishing trends in top-tier venues over the
years do not exhibit consistent growth. We also devise a novel way to retrieve
African authors through their affiliation history to have a better
understanding of their contributions in top-tier venues. Moreover, we study all
computer vision publications beyond top-tier venues in different African
regions to find that mainly Northern and Southern Africa are publishing in
computer vision with more than 85% of African publications. Finally, we present
the most recurring keywords in computer vision publications. In summary, our
analysis reveals that African researchers are key contributors to African
research, yet there exists multiple barriers to publish in top-tier venues and
the current trend of topics published in the continent might not necessarily
reflect the communities' needs. This work is part of a community based effort
that is focused on improving computer vision research in Africa.

本文分析了非洲计算机视觉领域的研究趋势，其中主要研究非洲研究机构在顶尖计算机视觉会议上的发表情况，发现非洲在该领域的研究发表数量较少、主要集中于南部和北部非洲地区，且目前研究主题与社区需求不完全匹配。