This paper presents the extension of the simulator VSNsim to enable the simulation of hybrid camera networks in the field of coordination and control algorithms. A hybrid camera network combines mobile and static cameras. Thus, mobile cameras in form of autonomously moving robots are added to the existing static cameras of VSNsim. Furthermore, priorities can be assigned to rooms in the simulate...

In recent years, camera networks have been widely employed in several application domains such as surveillance, ambient intelligence or video conferencing. The integration of heterogeneous sensors can provide complementary and redundant information that fused to visual cues allows the system to obtain an enriched and more robust scene interpretation. A discussion about possible architectures an...

Detecting motion of objects in images, while the camera is moving, is a complicated task. In this paper, we propose a novel method to effectively solve this problem by using Neural Networks and Kalman Filter. This technique uses movement parameters of camera to overcome problems caused by error in image processing outputs. We implemented this technique in the MRL Middle Size Soccer Robots. Expe...

An intuitive three-dimensional task-oriented coverage model for 3D multi-camera networks based on fuzzy sets is presented. The model captures the vagueness inherent in the concept of visual coverage, with a specific target of the feature detection and matching task. The coverage degree predicted by the model is validated against various multi-camera network configurations using the SIFT feature...

This paper presents a systematic approach for accurate short-time cloud coverage prediction based on machine learning (ML) approach. Based newly built omnidirectional ground-based sky camera system, local training and evaluation data sets were created. These used to train several state-of-the-art deep neural networks object detection segmentation. For this purpose, the camera-generated full hem...

Recent advances in sensor networks permit the use of a large number of relatively inexpensive distributed computational nodes with camera sensors linked in a network and possibly linked to one or more central servers. We argue that the full potential of such a distributed system can be realized if it is designed as a distributed search engine where images from different sensors can be captured,...

This paper introduces a method for robustly estimating a planar tracking correspondence model (TCM) for a large camera network directly from tracking data and for employing said model to reliably track objects through multiple cameras. By exploiting the unique characteristics of tracking data, our method can reliably estimate a planar TCM in large environments covered by many cameras. It is rob...