Due to progress and demographic change, society is facing a crucial challenge related to
increased life expectancy and a higher number of people in situations of dependency. As a …

This study proposes a novel human action recognition method using regularized multi-task
learning. First, we propose the part Bag-of-Words (PBoW) representation that completely …

Deformation of gait silhouettes caused by different view angles heavily affects the
performance of gait recognition. In this paper, a new method based on deterministic learning …

Template-based model-free approach provides by far the most successful solution to the gait
recognition problem in literature. Recent work discusses how isolating the head and leg …

Performance of gait recognition can be affected by many factors, especially by the variation
of view angle which will significantly change the available visual features for matching. In …

We developed and evaluated a rapid, low-cost system to classify squid in industrial
production. This involved designing an easy-to-use handheld image-acquisition system …

This paper proposes a novel cross-view human action recognition method by discovering
and sharing common knowledge among different video sets captured in multiple viewpoints …

This paper presents a novel multi-view human action recognition approach based on a bag-
of-key-poses. In the case of multi-view scenarios, it is especially difficult to perform accurate …

This paper presents a novel silhouette‐based feature for vision‐based human action
recognition, which relies on the contour of the silhouette and a radial scheme. Its low …

Existing studies in skeleton‐based action recognition mainly utilise skeletal data taken from
a single camera. Since the quality of skeletal tracking of a single camera is noisy and …