With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual
(RGB) sensing has become available for widespread use. The complementary nature of the …

Over the past decade deep learning has driven progress in 2D image understanding.
Despite these advancements, techniques for automatic 3D sensed data understanding, such …

In this paper, we present a novel approach for human action recognition with histograms of
3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D …

Face recognition is one of the most important abilities that we use in our daily lives. There
are several reasons for the growing interest in automated face recognition, including rising …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

Aggression among pigs adversely affects economic returns and animal welfare in intensive
pigsties. In this study, we developed a non-invasive, inexpensive, automatic monitoring …

We show that walls and other obstructions with edges can be exploited as naturally-
occurring" cameras" that reveal the hidden scenes beyond them. In particular, we …

Understanding human behaviors is a challenging problem in computer vision that has
recently seen important advances. Human behavior understanding combines image and …

Accurate, reliable indoor localization or positioning is the key enabler for location-based
services. Indoor localization can be broadly classified into two distinct categories. Active …

Describing user activity plays an essential role in ambient intelligence. In this work, we
review different methods for human activity recognition, classified as data-driven and …