As one of the most successful applications of image analysis and understanding, face
recognition has recently received significant attention, especially during the past several …

Human activity recognition is an important area of computer vision research. Its applications
include surveillance systems, patient monitoring systems, and a variety of systems that …

Action recognition is a relatively established task, where given an input sequence of human
motion, the goal is to predict its action category. This paper, on the other hand, considers a …

Recently introduced cost-effective depth sensors coupled with the real-time skeleton
estimation algorithm of Shotton et al.[16] have generated a renewed interest in skeleton …

As computers become more pervasive in society, facilitating natural human–computer
interaction (HCI) will have a positive impact on their use. Hence, there has been growing …

Mining sequential data is an old topic that has been revived in the last decade, due to the
increasing availability of sequential datasets. Most works in this field are centred on the …

Human activity recognition has potential to impact a wide range of applications from
surveillance to human computer interfaces to content based video retrieval. Recently, the …

Action recognition has become a very important topic in computer vision, with many
fundamental applications, in robotics, video surveillance, human–computer interaction, and …

The problem of indexing time series has attracted much interest. Most algorithms used to
index time series utilize the Euclidean distance or some variation thereof. However, it has …

Pfinder is a real-time system for tracking people and interpreting their behavior. It runs at 10
Hz on a standard SGI Indy computer, and has performed reliably on thousands of people in …