Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

This paper describes a framework for modeling human activities as temporally structured
processes. Our approach is motivated by the inherently hierarchical nature of human …

Fine-grained action recognition involves comparison of similar actions of variable-length
size consisting of subtle interactions between human and specific objects. Hence, we …

Data sets are crucial not only for model learning and evaluation but also to advance
knowledge on human behavior, thus fostering mutual inspiration between neuroscience and …

Robots that succeed in factories may struggle to complete even the simplest daily task that
humans take for granted, because the change of environment makes the task exceedingly …

Computer-based human activity recognition of daily living has recently attracted much
interest due to its applicability to ambient assisted living. Such applications require the …

With the growth of video content produced by mobile cameras and surveillance systems, an
increasing amount of data is becoming available and can be used for a variety of …

Multimodal learning has gained immense popularity due to the explosive growth in the
volume of image and textual data in various domains. Vision-language heterogeneous …

Teaching and exam proctoring represent key pillars of the education system. Human
proctoring, which involves visually monitoring examinees throughout exams, is an important …

Human action recognition from a video scene has remained a challenging problem in the
area of computer vision and pattern recognition. The development of the low-cost RGB …