There has been an exponential growth in the amount of visual data on a daily basis
acquired from single or multi-view surveillance camera networks. This massive amount of …

Activity recognition systems are a large field of research and development, currently with a
focus on advanced machine learning algorithms, innovations in the field of hardware …

The recent advancement and development of computer electronic devices has led to the
adoption of smart home sensing systems, stimulating the demand for associated products …

In this paper, we go beyond recognizing the actions of individuals and focus on group
activities. This is motivated from the observation that human actions are rarely performed in …

We present a hierarchical model for human activity recognition in entire multi-person
scenes. Our model describes human behaviour at multiple levels of detail, ranging from low …

Human action recognition targets recognising different actions from a sequence of
observations and different environmental conditions. A wide different applications is …

Robust and accurate human activity recognition (HAR) systems are essential to many
human-centric services within active assisted living and healthcare facilities. Traditional …

Crowd video analysis has applications in crowd management, public space design, and
visual surveillance. Example tasks potentially aided by automated analysis include anomaly …

The first step towards analysing social interactive behaviour in crowded environments is to
identify who is interacting with whom. This paper presents a new method for detecting …

With increasing crime rates in today's world, there is a corresponding awareness for the
necessity of detecting abnormal activity. Automation of abnormal Human behavior analysis …