In spite of an undoubted richness of information produced by 3D optical technologies, in some cases, the method for generating a digital model from single 3D acquisitions involves the propagation of errors. These errors limit the overall metric accuracy attainable with such procedure. This happens when small 3D images are assembled together in order to model a large object. The authors present ...

With the proliferation of security cameras, the approach taken to monitoring and placement of these cameras is critical. This paper presents original work in the area of multiple camera human activity monitoring. First, a system is presented that tracks pedestrians across a scene of interest and recognizes a set of human activities. Next, a framework is developed for the placement of multiple c...

Multi-sensor networks provide complementary information for various tasks like object detection, movement analysis and tracking. One of the important ingredients for efficient multi-sensor network actualization is the optimal configuration of sensors. In this work, we consider the problem of optimal configuration of a network of coupled camera-inertial sensors for 3D data registration and recon...

To enhance exibility and extend the area of applications for robotic systems, it is important that the systems are capable of handling uncertainties and respond to (random) human behaviour. A vision system must very often be able to work in a dynam-ical \noisy" world where the placement of objects can vary within certain restrictions. Furthermore it would be useful if the system is able to reco...

In this research, we are considering the use of the inverse perspective transformation in video surveillance applications that observe (and possible influence) scenes consisting of moving and stationary objects; e.g., people on a parking area. In previous research, objects were detected on video streams and identified as moving or stationary. Subsequently, distance maps were generated by the Fa...

In this paper, we investigate what can be inferred from several silhouette probability maps, in multi-camera environments. To this aim, we propose a new framework for multiview silhouette cue fusion. This framework uses a space occupancy grid as a dense probabilistic 3D representation of scene contents. Such a representation is of great interest for various computer vision applications in perce...

In the approach phase of the long jump, athletes attempt to strike the take-off board accurately with minimum loss of speed, and in an optimum body position for take-off. Previous research has shown that skilled long jumpers demonstrate an ascending-descending trend of variability rather than a consistent pattern of foot placement over trials. The present study examined whether non-long jumpers...

Objective: We formulated a simulator system for catheter intervention training by developing a sliding table and an electrically controlled camera-holding C-arm and combining them with the silicone vessel model EndoVascular Evaluator (EVE). We performed simulation of mechanical thrombectomy using this system and evaluated its usability for simulation training. Methods: After three experts in ne...

OBJECTIVE To improve the clinical documentation of strabismus by mathematically predicting and clinically verifying the location of a fixation target that produces a vertically centered corneal light reflex (first Purkinje image) in clinical photographs of the eye using a standard photographic flash unit. MATERIALS AND METHODS Mathematical modeling of the corneal light reflex during clinical ...

Until now, research on projector-camera systems had only concentrated on user-interaction within a lab-environment. As a result of this, there are very limited insights into how such systems could be used in everyday life. It was therefore our aim to investigate requirements and use cases of home deployed projector-camera systems. To this purpose, we conducted an in-situ user study involving 22...