Results 211 to 220 of about 631,966 (266)
Sex-dependent shifts in visual detection thresholds under turbid conditions in an African cichlid. [PDF]
Tiarks JH, Gray SM.
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Portable smartphone-integrated ratiometric fluorescence probe for visual detection of mercury ions in environmental water with greenness evaluation. [PDF]
Kayani KF.
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Portable ratiometric fluorescence sensor based on CuNCs@EuMOFs for visual detection of Hg(ii) in water samples. [PDF]
Tian J +6 more
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Development of an RPA-CRISPR/LbaCas12a-Lateral Flow Assay for the Visual Detection of <i>Chrysotila dentata</i> (Haptophyta). [PDF]
Yu J +7 more
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The Journal of Psychology, 1965
(1965). Visual-Character Detection. The Journal of Psychology: Vol. 60, No. 2, pp. 295-300.
D W, BROWN, H D, FRIEDMAN
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(1965). Visual-Character Detection. The Journal of Psychology: Vol. 60, No. 2, pp. 295-300.
D W, BROWN, H D, FRIEDMAN
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Face detection for visual surveillance
12th International Conference on Image Analysis and Processing, 2003.Proceedings., 2004In this paper, a real-time face detection system for color image sequences is presented. The system applies three different face detection methods and integrates the obtained results to achieve a greater location accuracy. The first method localizes the human head through outline analysis, focusing the attention of the system on a small image area. The
FORESTI, Gian Luca +3 more
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Visual Relation of Interest Detection
Proceedings of the 28th ACM International Conference on Multimedia, 2020In this paper, we propose a novel Visual Relation of Interest Detection (VROID) task, which aims to detect visual relations that are important for conveying the main content of an image, motivated from the intuition that not all correctly detected relations are really "interesting" in semantics and only a fraction of them really make sense for ...
Fan Yu 0003 +4 more
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Activity Detection in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics, 2014For large-scale simulations, the data sets are so massive that it is sometimes not feasible to view the data with basic visualization methods, let alone explore all time steps in detail. Automated tools are necessary for knowledge discovery, i.e., to help sift through the data and isolate specific time steps that can then be further explored ...
Sedat Ozer +3 more
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2017
In this paper, we have proposed a novel and efficient visual smoke detection algorithm. Smoke detection in video surveillance is very important for early fire detection. Proposed algorithm uses an unique combination of features to detect smoke efficiently. These features use appearance, energy and motion properties of the smoke.
Abhishek Kumar Tripathi, Shanti Swarup
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In this paper, we have proposed a novel and efficient visual smoke detection algorithm. Smoke detection in video surveillance is very important for early fire detection. Proposed algorithm uses an unique combination of features to detect smoke efficiently. These features use appearance, energy and motion properties of the smoke.
Abhishek Kumar Tripathi, Shanti Swarup
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NeuroReport, 2003
How do we detect changes in our visual environment? By continuously comparing visual inputs to templates of experiences in the immediate past? Or by determining their rareness, how infrequently a visual event occurred previously? Recent results from event-related potentials have been interpreted in favour of the first hypothesis, as in the case of the ...
Kenemans, J.L. +2 more
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How do we detect changes in our visual environment? By continuously comparing visual inputs to templates of experiences in the immediate past? Or by determining their rareness, how infrequently a visual event occurred previously? Recent results from event-related potentials have been interpreted in favour of the first hypothesis, as in the case of the ...
Kenemans, J.L. +2 more
openaire +3 more sources

