Drawing on theories of surveillance and interaction ritual, we explore the incentives (disincentives) to analyst participation during the question-and-answer session (Q&A) which concludes firms' results presentations.
In particular, it has increased the opportunities for surveillance of interactions between targeted groups and individuals, and for harassment.
Enon is a service robot that serves multiple purposes: surveillance, transportation, customer interaction, information terminal etc.
Human action recognition (HAR) attracts the attention of many researchers due to its numerous applications, such as video surveillance, human computer interaction, and video analysis [1].
Face detection is a key component in applications such as security surveillance and human computer interaction systems, and real-time recognition is essential in many scenarios.
The aim of the work is to build self-growing based architectures to support visual surveillance and human computer interaction systems.
Human action recognition is one of the most important research areas in computer vision due to its usefulness in real-world applications such as video surveillance, human computer interaction, and video archival systems.
In recent times, face recognition has become one of the widely used biometric techniques having a number of real-world applications like human-computer interaction, surveillance, authentication, computer vision applications, computer user interfaces, etc.
Recognition and prediction of human actions is one of the important tasks in various computer vision applications including video surveillance, human computer interaction and home entertainment that require online and real time approaches.
Advocates of mixed-use neighborhoods, on the other hand, suggest that combining commercial and residential uses can reduce crime by increasing opportunities for surveillance, encouraging social interaction, and promoting a sense of community and social control among neighborhood members.
