Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by deficits in social communication and repetitive behaviors. With the rapid development of computer vision, visual behavior analysis aided diagnosis of ASD has got more and more attention. This paper reviews the research on visual behavior analysis aided diagnosis of ASD. First, the core symptoms and clinical diagnostic criteria of ASD are introduced briefly. Secondly, according to clinical diagnostic criteria, the interaction scenes are classified and introduced. Then, the existing relevant datasets are discussed. Finally, we analyze and compare the advantages and disadvantages of visual behavior analysis aided diagnosis methods for ASD in different interactive scenarios. The challenges in this research field are summarized and the prospects of related research are presented to promote the clinical application of visual behavior analysis in ASD diagnosis.
自闭症谱系障碍（ASD）是一种主要表现为社交沟通与交往缺陷以及重复刻板行为的神经发育障碍。随着计算机视觉技术的快速发展，基于视觉行为分析的ASD辅助诊断受到了越来越多的关注。本文对当前基于视觉行为分析的ASD辅助诊断研究进行综述，首先简述了ASD的核心症状和临床诊断标准；然后，根据临床诊断标准，分类介绍了现有研究中设置的互动场景；接着论述了现有ASD数据集；最后分析了在不同互动场景中基于视觉行为分析的ASD辅助诊断方法的优缺点，总结了该研究领域面临的挑战，展望了未来发展方向，以期促进视频行为分析在ASD辅助诊断研究的临床应用。.
Keywords: Autism spectrum disorder; Diagnosis; Interactive scene; Video dataset; Visual behavior analysis.