This paper presents an overview of state-of-the-art methods in activity recognition using
semantic features. Unlike low-level features, semantic features describe inherent …

Human activity recognition has gained an increasing relevance in computer vision and it can
be tackled with either non-hierarchical or hierarchical approaches. The former, also known …

The rapid proliferation of smart devices, surveillance cameras, infrastructures and buildings
enhanced with the Internet of Things (IoT) technologies has led to a huge explosion of …

Spatial clustering of the events scattered over a geographical region has many important
applications, including the assessment of needs of the people affected by a disaster. In this …

The quality of parent-child interactions is foundational to children's social-emotional and
cognitive development, as well as their lifelong mental health. The Parent-Child Interaction …

Urban surveillance systems will be more demanding in the future towards smart city to
improve the intelligence of cities. Big data analytics and processing for urban surveillance …

Big Video data analytics and processing are becoming increasingly important research
areas because of infinite generation of massive video data volumes all over the world. In this …

Recognizing human activities from video data is routinely leveraged for surveillance and
human-computer interaction applications. The main focus has been classifying videos into …