Object detection is particularly important in robotic applications that require interaction with the environment. Although 2D object detection methods obtain accurate results, these are not enough to provide a complete ...

We present a pipeline able to extract 3D real-world measurements from RGB-D images with high accuracy in real-time. A new method bottom-up multi-person for hand-body pose detection evolved from OpenPifPaf has been presented. ...

Scene reconstruction is the process of reconstructing a digital version of a real world object or environment from pictures or scans of the object. Over the last years, we have experienced growing interest for this task ...

Environmental change is a growing international concern, calling for the regular monitoring, studying and preserving of detailed information about the evolution of underwater ecosystems. For example, fragile coral reefs ...

Augmented reality mixes computer generated graphics with real imaging using computer vision techniques. However, nowadays, augmented reality is still a very young field of research, and its applications usually involve ...

Background: In handball, the kinematics of the frontal plane seem to be one of the most important factors for the development of lower limb injuries. The knee valgus angle is a fundamental axis for injury prevention and ...

As its name implies, the forward head position (FHP) is when the head is further forward of the trunk than normal. This can cause neck and shoulder tension, as well as headaches. The craniovertebral angle (CVA) measured ...

This work presents an architecture based on a modular and hierarchically-organised system to perform Multiple-Target Tracking (MTT). A set of co-operating modules, which work following both bottom-up and top-down paradigms, ...

In recent years, there has been a substantial increase in research on continuous learning methodologies aiming at equipping robots with cognitive processes that are closely related to human cognition. Our goal is to develop ...