Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Besma Abidi"'
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 28:1707-1718
The human visual system is not very sensitive to the absolute luminance of an image, but rather responds to local luminance changes, i.e., the gradient of an image. In this paper, we propose a constrained optimization approach for image gradient enha
Publikováno v:
International Journal of Information Acquisition. :225-242
Most existing camera placement algorithms focus on coverage and/or visibility analysis, which ensures that the object of interest is visible in the camera's field of view (FOV). According to recent literature, handoff safety margin is introduced to s
Publikováno v:
Image and Vision Computing. 28:851-864
Camera handoff is a crucial step to obtain a continuously tracked and consistently labeled trajectory of the object of interest in multi-camera surveillance systems. Most existing camera handoff algorithms concentrate on data association, namely cons
Publikováno v:
Computer Vision and Image Understanding. 114:179-197
In a multi-camera surveillance system, both camera handoff and placement play an important role in generating an automated and persistent object tracking, typical of most surveillance requirements. Camera handoff should comprise three fundamental com
Publikováno v:
IEEE Transactions on Information Forensics and Security. 4:111-122
In order to achieve improved recognition performance in comparison with conventional broadband images, this paper addresses a new method that automatically specifies the optimal spectral range for multispectral face images according to given illumina
Publikováno v:
ACM Computing Surveys. 41:1-36
Although sensor planning in computer vision has been a subject of research for over two decades, a vast majority of the research seems to concentrate on two particular applications in a rather limited context of laboratory and industrial workbenches,
Publikováno v:
Journal of Pattern Recognition Research. 4:92-109
In this paper, we present the application of two linear machine learning techniques; ridge regression and kernel regression for the estimation of illumination chromaticity. A number of machine learning techniques, neural networks and support vector m
Publikováno v:
International Journal of Computer Vision. 82:244-263
To achieve size preserving tracking, in addition to controlling the camera's pan and tilt motions to keep the object of interest in the camera's field of view (FOV), the camera's focal length is adjusted automatically to compensate for the changes in
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 18:1052-1063
Dual-camera systems have been widely used in surveillance because of the ability to explore the wide field of view (FOV) of the omnidirectional camera and the wide zoom range of the PTZ camera. Most existing algorithms require a priori knowledge of t
Publikováno v:
Computer Vision and Image Understanding. 111:111-125
In this paper, we describe a face video database, UTK-LRHM, acquired from long distances and with high magnifications. Both indoor and outdoor sequences are collected under uncontrolled surveillance conditions. To our knowledge, it is the first datab