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Titlebook: Computer Vision Systems; 6th International Co Antonios Gasteratos,Markus Vincze,John K. Tsotsos Conference proceedings 2008 Springer-Verlag

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樓主: cherub
51#
發(fā)表于 2025-3-30 10:45:43 | 只看該作者
https://doi.org/10.1007/978-3-031-53177-4ur previous research on color-based tracking and extends it towards building a system capable of distinguishing between human hands, faces and other skin-colored regions in the image background. To achieve these goals, the proposed approach allows the utilization of additional information cues inclu
52#
發(fā)表于 2025-3-30 15:11:00 | 只看該作者
53#
發(fā)表于 2025-3-30 16:48:20 | 只看該作者
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發(fā)表于 2025-3-30 21:05:14 | 只看該作者
,Baby Boomers and the Death Café, paper we present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input image. We demonstrate the use of the algorithm in the s
55#
發(fā)表于 2025-3-31 02:34:20 | 只看該作者
,Baby Boomers and the Death Café, for use onboard aircraft in spatially constrained environments. The techniques discussed herein aim to warn on-board crew about pre-determined indicators of threat intent (such as running or shouting in the cabin), as elicited from industry and security experts. The subject matter experts believe t
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發(fā)表于 2025-3-31 08:18:40 | 只看該作者
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發(fā)表于 2025-3-31 10:33:32 | 只看該作者
58#
發(fā)表于 2025-3-31 16:24:17 | 只看該作者
Decolonizing the Lifeworld of Death, to specify in advance the number of clusters to search for and is more precise than k-means in clustering data coming from multiple Gaussian distributions with different co-variances, while maintaining real-time performance. Experiments on real and synthetic datasets are presented to measure the ef
59#
發(fā)表于 2025-3-31 19:44:15 | 只看該作者
Decolonizing the Lifeworld of Death,resence of smoke by analyzing color and texture features of moving objects, segmented with background subtraction. The proposal embodies some novelties: first the temporal behavior of the smoke is modeled by a Mixture of Gaussians (MoG ) of the energy variation in the wavelet domain. The MoG takes i
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