Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Srdan Stankovic"'
Publikováno v:
2020 19th International Symposium INFOTEH-JAHORINA (INFOTEH).
Images in bad weather can be degraded by scattering atmospheric particles, and suffer from low contrast and faint color. Main focus of this work is on dehazing methods that can be used for low-light and low-contrast conditions. Dehazing algorithms ca
Publikováno v:
2019 27th Telecommunications Forum (TELFOR).
Visible light face detection systems have been well researched and in controlled environments can reach excellent accuracy. Variation in illumination conditions results in performance degradation and illumination is the one of the major limitations i
Publikováno v:
2019 18th International Symposium INFOTEH-JAHORINA (INFOTEH).
Face recognition, as one of the biometric methods, in controlled environments reaches recognition accuracy of more than 99%. Regardless of that, variations in lighting conditions, pose, facial expressions and occlusions result in performance degradat
Publikováno v:
2019 18th International Symposium INFOTEH-JAHORINA (INFOTEH).
The utilization of a thermal band imaging sensor with aim to overcome the disadvantages of visible light face recognition systems, such as variation in lighting conditions, has become more popular in wide range of security and safety applications. Th
Publikováno v:
2018 14th Symposium on Neural Networks and Applications (NEUREL).
Object tracking using thermal infrared cameras has specific properties and challenges which distinguish it from the commonly used visual tracking. Recently, correlation filters (CF) based on deep features have been successfully applied in certain vis
Publikováno v:
2018 14th Symposium on Neural Networks and Applications (NEUREL).
Visible light face recognition systems have been well researched and in controlled environments can reach excellent accuracy. Variation in lighting conditions results in performance degradation and illumination is the one of the major limitations in
Publikováno v:
2018 14th Symposium on Neural Networks and Applications (NEUREL).
Video enhancement algorithms in long-range multi-sensor surveillance systems are of great importance. Infrared sensors typically suffer from blur and noise originating from sensors and their environment. This paper proposes a real-time infrared imagi
Publikováno v:
2018 17th International Symposium INFOTEH-JAHORINA (INFOTEH).
Object tracking algorithms in thermal imaging are very important in both civil and military applications, especially in the domain of surveillance and monitoring. Compared with visual object tracking, thermal infrared tracking has several advantages,
Publikováno v:
Electronics Letters. 52:41-43
An algorithm for compressive sensing reconstruction of signals in the Hermite expansion domain is proposed. The compressive sensing problem is formulated in the Hermite framework, allowing fast and efficient reconstruction of missing data by exploiti
Publikováno v:
2016 International Symposium ELMAR.
The problem of the representation of uniformly sampled signals in the Hermite transform basis is revisited. Namely, due to the application of Gauss-Hermite quadrature in the calculation of transformation coefficients, the discrete Hermite transform a