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A Novel Time-Domain Technique for Damage Detection Applied to SHM Using Savitzky-Golay Filter
(Destech Publications, Inc, 2013-01-01)
This paper presents a novel damage detection approach for Structural Health Monitoring (SHM) systems, which is based on Savitzky-Golay filter and time-domain analysis. In this technique, a specific PZT (actuator) excites ...
A novel time-domain technique for damage detection applied to SHM using Savitzky-Golay filter
(2013-01-01)
This paper presents a novel damage detection approach for Structural Health Monitoring (SHM) sy stems, which is based on Savitzky-Golay filter and time-domain analysis. In this technique, a specific P ZT (actuator) excites ...
BoWFire: detection of fire in still images by integrating pixel color and texture analysis
(Universidade Federal da Bahia - UFBAIntelligent Vision Research Lab - iVisionSalvador, 2015-08)
Emergency events involving fire are potentially harmful, demanding a fast and precise decision making. The use of crowdsourcing image and videos on crisis management systems can aid in these situations by providing more ...
On the Learning of Deep Local Features for Robust Face Spoofing Detection
(2019-01-15)
Biometrics emerged as a robust solution for security systems. However, given the dissemination of biometric applications, criminals are developing techniques to circumvent them by simulating physical or behavioral traits ...
Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks
(Ieee, 2020-01-01)
Scene change detection is an image processing problem related to partitioning pixels of a digital image into foreground and background regions. Mostly, visual knowledge-based computer intelligent systems, like traffic ...
Video Segmentation Learning Using Cascade Residual Convolutional Neural Network
(Ieee, 2019-01-01)
Video segmentation consists of a frame-by-frame selection process of meaningful areas related to foreground moving objects. Some applications include traffic monitoring, human tracking, action recognition, efficient video ...
Manifold learning-based clustering approach applied to anomaly detection in surveillance videos
(2020-01-01)
The huge increase in the amount of multimedia data available and the pressing need for organizing them in different categories, especially in scenarios where there are no labels available, makes data clustering an essential ...
Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos
(Scitepress, 2020-01-01)
The huge increase in the amount of multimedia data available and the pressing need for organizing them in different categories, especially in scenarios where there are no labels available, makes data clustering an essential ...
Phenological event detection by visual rhythms dissimilarity analysis
(2014-01-01)
Plant phenology has been exploited as an important research venue for assessing the impact of climate changes. One common approach for monitoring vegetation relies on the use of digital cameras. The employment of imaging ...