Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Marek Kraft"'
Publikováno v:
IEEE Access, Vol 12, Pp 44262-44277 (2024)
Disease outbreaks and pandemics show us how important it is to limit the spread of diseases. One common indicator of many ailments is body temperature. It’s a measurement that can be taken quickly, also using contactless methods. However, it is nec
Externí odkaz:
https://doaj.org/article/a3f8ef50789b46fda661850a3cd38967
Publikováno v:
SoftwareX, Vol 23, Iss , Pp 101495- (2023)
This paper presents Deepness - an open-source plugin for the QGIS application, allowing the easy employment of neural network models on any raster layer representing a matrix of values or image data. Deep neural networks show a clear improvement in c
Externí odkaz:
https://doaj.org/article/822df861b67a4a1b8925a0d08d6acdc7
Publikováno v:
Applied Sciences, Vol 13, Iss 22, p 12401 (2023)
Autonomous lunar exploration is a complex task that requires the development of sophisticated algorithms to control the movement of lunar rovers in a challenging environment, based on visual feedback. To train and evaluate these algorithms, it is cru
Externí odkaz:
https://doaj.org/article/3ffd504525184d679006cc6ef14ad016
Publikováno v:
IEEE Access, Vol 10, Pp 124835-124847 (2022)
The monitoring of presence is a timely topic in intelligent building management systems. Nowadays, most rooms, halls, and auditoriums use a simple binary presence detector that is used to control the operation of HVAC systems. This strategy is not op
Externí odkaz:
https://doaj.org/article/d8cbc8e8f7b743fd9e7b7e9af2e08b36
Publikováno v:
Journal of Universal Computer Science, Vol 25, Iss 6, Pp 611-626 (2019)
In this paper, a method for improving the quality of person re-identification results is presented. The method is based on the assumption, that including segmentation information into re-identi_cation pipeline discards the automated detections that a
Externí odkaz:
https://doaj.org/article/bc341827eab148ae8eae368f514b2a7a
Publikováno v:
Remote Sensing, Vol 14, Iss 10, p 2288 (2022)
Recent advances in deep learning-based image processing have enabled significant improvements in multiple computer vision fields, with crowd counting being no exception. Crowd counting is still attracting research interest due to its potential useful
Externí odkaz:
https://doaj.org/article/faa517a09be5470fbcbdc9613bac9504
Low-Cost Thermal Camera-Based Counting Occupancy Meter Facilitating Energy Saving in Smart Buildings
Publikováno v:
Energies, Vol 14, Iss 15, p 4542 (2021)
Using passive infrared sensors is a well-established technique of presence monitoring. While it can significantly reduce energy consumption, more savings can be made when utilising more modern sensor solutions coupled with machine learning algorithms
Externí odkaz:
https://doaj.org/article/91235f16eab84e8d8718c6257bafddf5
Autor:
Piotr Kicki, Michał Bednarek, Paweł Lembicz, Grzegorz Mierzwiak, Amadeusz Szymko, Marek Kraft, Krzysztof Walas
Publikováno v:
Sensors, Vol 21, Iss 13, p 4327 (2021)
In the context of the robotisation of industrial operations related to manipulating deformable linear objects, there is a need for sophisticated machine vision systems, which could classify the wiring harness branches and provide information on where
Externí odkaz:
https://doaj.org/article/03dba27c865f49e5a946ccdcdd12119c
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 965 (2021)
Public littering and discarded trash are, despite the effort being put to limit it, still a serious ecological, aesthetic, and social problem. The problematic waste is usually localised and picked up by designated personnel, which is a tiresome, time
Externí odkaz:
https://doaj.org/article/84d38d75156643f0a0292ced69366edc
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 12 (2015)
Image feature detection and matching is a fundamental operation in image processing. As the detected and matched features are used as input data for high-level computer vision algorithms, the matching accuracy directly influences the quality of the r
Externí odkaz:
https://doaj.org/article/088d35271b4c48a3891a6b0a2deb1107