Face recognition has become a significant challenge today since an increasing number of
individuals wear masks to avoid infection with the novel coronavirus or Covid-19. Due to its …

Weakly supervised temporal action detection aims to localize temporal boundaries of
actions and identify their categories simultaneously with only video-level category labels …

In this paper, we propose a new framework for detecting the unauthorized dumping of
garbage in real‐world surveillance camera. Although several action/behavior recognition …

Complex activities often involve multiple humans utilizing different objects to complete
actions (eg, in healthcare settings, physicians, nurses, and patients interact with each other …

Image Incorporation concerns, including background confusion, uneven population
distribution, and variations in scale and familiarity, can make group counting difficult. Pre …

The detection of abnormal postures, such as that of a reclining person, is a crucial part of
visual surveillance. Further, even regular poses can appear rotated because of incongruity …

Behavioural phenotyping of drosophila is an important means in biological and medical
research to identify the genetic, pathologic, or psychological impact on animal behavior …

Two-stream CNN is a widely-used network for human action recognition. Two-stream CNN
consists of a spatial stream and a temporal stream. The spatial stream, through which the …

Abnormal gesture recognition has many applications in the fields of visual surveillance,
crowd behavior analysis, and sensitive video content detection. However, the recognition of …

In healthcare, the analysis of patients' activities is one of the important factors that offer
adequate information to provide better services for managing their illnesses well. Most of the …