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Titlebook: Image Analysis and Recognition; 10th International C Mohamed Kamel,Aurélio Campilho Conference proceedings 2013 Springer-Verlag Berlin Heid

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樓主: burgeon
41#
發(fā)表于 2025-3-28 15:46:34 | 只看該作者
42#
發(fā)表于 2025-3-28 18:59:12 | 只看該作者
Waving Detection Using the FuzzyBoost Algorithm and Flow-Based Features. The features encode the spatial distribution of the optic flow of a tracked person, considering the polar sampling of the flow for each instant. The FuzzyBoost algorithm selects groups of features that discriminate better than any single feature, bringing robustness and generalization over the Tem
43#
發(fā)表于 2025-3-29 02:50:40 | 只看該作者
44#
發(fā)表于 2025-3-29 03:30:39 | 只看該作者
Comparative Study between Spatio/Temporal Descriptors for Pedestrians Recognition by Gaitstrians, we first propose a new markerless method based on a medical study to locate the interest body points from each silhouette. The proposed method is very suitable compared to existing works that use a harmonic predictive model which is sensitive to the speed variation. Then, we have introduced
45#
發(fā)表于 2025-3-29 10:51:46 | 只看該作者
46#
發(fā)表于 2025-3-29 14:29:17 | 只看該作者
A Unifying Approach to ECG Biometric Recognition Using the Wavelet Transformasingly used as a biometric measure for person identification, as it is an easily measurable characteristic of all individuals. Our method for ECG acquisition follows an off-the-person approach, using a single ECG lead with non-gelled electrodes placed at the hands. However, this signal is noisier t
47#
發(fā)表于 2025-3-29 16:20:45 | 只看該作者
48#
發(fā)表于 2025-3-29 20:18:42 | 只看該作者
49#
發(fā)表于 2025-3-30 01:22:21 | 只看該作者
50#
發(fā)表于 2025-3-30 07:40:43 | 只看該作者
Biometric Authentication Based on Pupillary Light Reflex Using Neural Networks problem for most of them: the spoofing vulnerability of the features. The authentication based on human reflexes is a recent proposal against frauds at the biometric level. The involuntary responses of the body cannot be removed from the person, naturally mimicked or reproduced by artificial means.
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