Results 21 to 30 of about 499,176 (310)

Moving Object Detection Using Scanning Camera on a High-Precision Intelligent Holder

Sensors, 2016
During the process of moving object detection in an intelligent visual surveillance system, a scenario with complex background is sure to appear. The traditional methods, such as “frame difference” and “optical flow”, may not able to deal with the ...
Shuoyang Chen, Tingfa Xu, Daqun Li, Jizhou Zhang, Shenwang Jiang   +4 more
doaj   +1 more source

An Overview of Background Modeling for Detection of Targets and Anomalies in Hyperspectral Remotely Sensed Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
This paper reviews well-known classic algorithms and more recent experimental approaches for distinguishing the weak signal of a target (either known or anomalous) from the cluttered background of a hyperspectral image.
Stefania Matteoli, Marco Diani, James Theiler   +2 more
doaj   +1 more source

Background independent matrix models [PDF]

Physics Letters B, 1998
A class of background independent matrix models is made for which the structure of both local gauge symmetries and classical solutions is clarified. These matrix models do not involve a space-time metric and provide the matrix analogs of topological Chern-Simons and BF theories.
openaire   +2 more sources

Background subtraction: separating the modeling and the inference [PDF]

Machine Vision and Applications, 2013
19 pages, 6 figures, Machine Vision and Applications ...
Manjunath Narayana, Allen R. Hanson, Erik G. Learned-Miller   +2 more
openaire   +2 more sources

A region based approach to background modeling in a wavelet multi-resolution framework

, 2011
In the field of detection and monitoring of dynamic objects in quasi-static scenes, background subtraction techniques where background is modeled at pixel-level, although showing very significant limitations, are extensively used. In this work we propose
Salgado Álvarez de Sotomayor, Luis, Mendizábal Vicente, Ainhoa   +1 more
core   +1 more source

Computer vision techniques for background modelling in urban traffic monitoring [PDF]

, 2010
Jose Manuel Milla, Sergio Luis Toral, Manuel Vargas and Federico Barrero (2010). Computer Vision Techniques for Background Modeling in Urban Traffic Monitoring, Urban Transport and Hybrid Vehicles, Seref Soylu (Ed.), ISBN: 978-953-307-100-8, InTech, DOI:
Federico Barrero, Manuel Vargas, Barrero, Federico, Jose Manuel, Sergio Luis, Toral, S. L., Vargas Villanueva, Manuel, Milla, José Manuel, Soylu, Seref (Coordinador)   +8 more
core   +1 more source

Comparative Evaluation of Background Subtraction Algorithms in Remote Scene Videos Captured by MWIR Sensors

Sensors, 2017
Background subtraction (BS) is one of the most commonly encountered tasks in video analysis and tracking systems. It distinguishes the foreground (moving objects) from the video sequences captured by static imaging sensors.
Guangle Yao, Tao Lei, Jiandan Zhong, Ping Jiang, Wenwu Jia   +4 more
doaj   +1 more source

Background model for the Majorana Demonstrator

Journal of Physics: Conference Series, 2017
The MAJORANA Collaboration is constructing a system containing 44 kg of high-purity Ge (HPGe) detectors to demonstrate the feasibility and potential of a future tonne-scale experiment capable of probing the neutrino mass scale to ~15 meV. To realize this, a major goal of the MAJORANA DEMONSTRATOR is to demonstrate a path forward to achieving a ...
Cuesta, C., Abgrall, N., Arnquist, I. J., Avignone III, F. T., Barabash, A. S., Bertrand, F. E., Bradley, A. W., Brudanin, V., Busch, M., Buuck, M., Caldwell, T. S., Chan, Y-D., Christofferson, C. D., Chu, P. -H., Detwiler, J. A., Dunagan, C., Efremenko, Yu., Ejiri, H., Elliott, S. R., Fullmer, A., Galindo-Uribarri, A., Gilliss, T., Giovanetti, G. K., Green, M. P., Gruszko, J., Guinn, I. S., Guiseppe, V. E., Henning, R., Hoppe, E. W., Howe, M. A., Jasinski, B. R., Keeter, K. J., Kidd, M. F., Konovalov, S. I., Kouzes, R. T., Leon, J., Lopez, A. M., MacMullin, J., Martin, R. D., Massarczyk, R., Meijer, S. J., Mertens, S., Orrell, J. L., O'Shaughnessy, C., Poon, A. W. P., Radford, D. C., Rager, J., Rielage, K., Robertson, R. G. H., Romero-Romero, E., Shanks, B., Shirchenko, M., Suriano, A. M., Tedeschi, D., Trimble, J. E., Varner, R. L., Vasilyev, S., Vetter, K., Vorren, K., White, B. R., Wilkerson, J. F., Wiseman, C., Xu, W., Yakushev, E., Yu, C. -H., Yumatov, V., Zhitnikov, I.   +66 more
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Background reference frame generation method for surveillance video based on image block codebook model

Tongxin xuebao, 2023
To solve the problems that the background reference frames are seriously contaminated by the foreground, and the bit rate increases suddenly incurred by the one-time transmission of the background frames, a progressive background frame generation method ...
Wei ZHANG, Yu WANG, Xinyi CHEN, Yanwen WANG, Qingyang JING, Weimin LEI   +5 more
doaj   +2 more sources

Dependence in a background risk model

Journal of Multivariate Analysis, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marie-Pier Côté, Christian Genest
openaire   +1 more source