In times of progressive digital transformation and constant change, a continuous
reorientation of stationary retail is indispensable in order to be successful in the future. The …

Mining approaches based on video data can serve in identifying stores' performance by
gaining insight into what needs to be proceeded to further enhance customers' experience …

Multiple people's tracking and detecting are essential and challenging tasks for monitoring
vision, particularly in public places like shopping centers. We introduced a technical …

Despite overwhelming achievements in recognition accuracy, extending an open-set
capability---ability to identify when the question is out of scope---remains greatly challenging …

The aim of this paper is to introduce that Convolutional Neural Networks based on depth
data can be applied to recognize the signs of the Hungarian fingerspelling alphabet. After a …

The problem of video surveillance toward behavior tracking has been well studied. The
object tracking in video surveillance and behavior analysis has been used for different …