Search results for "Features fusion"

showing 2 items of 2 documents

A comprehensive survey of multi-view video summarization

2021

[EN] There has been an exponential growth in the amount of visual data on a daily basis acquired from single or multi-view surveillance camera networks. This massive amount of data requires efficient mechanisms such as video summarization to ensure that only significant data are reported and the redundancy is reduced. Multi-view video summarization (MVS) is a less redundant and more concise way of providing information from the video content of all the cameras in the form of either keyframes or video segments. This paper presents an overview of the existing strategies proposed for MVS, including their advantages and drawbacks. Our survey covers the genericsteps in MVS, such as the pre-proce…

Multi-sensor managementComputer scienceFeature extraction02 engineering and technologycomputer.software_genre01 natural sciencesAutomatic summarizationFeatures fusionBig dataRedundancy (information theory)Multi-camera networksArtificial IntelligenceMulti-view video summarization0103 physical sciencesSignal ProcessingMachine learning0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionData mining010306 general physicscomputerVideo summarization surveySoftware
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A fast fusion technique for fingerprint and iris spatial descriptors in multimodal biometric systems

2014

Multimodal biometric identification systems aim to combine two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR). In this paper a new fusion technique for fingerprint and iris spatial descriptors with a low execution time is presented. The report focuses on spatial fusion strategies, offering and proposing a modern perspective on multi-biometrics. In greater detail, a spatial-based approach and a homogeneous biometric vector, integrating iris and fingerprint data, are generated, fused, and processed for the overall system matching score. The goal of this approach is to demonstrate that, by using spatial iris features followin…

Multimodal Biometric Systems Spatial Features Fusion Iris and Fingerprint Traits
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