Context‐dependent role of selective attention for change detection in multi‐speaker scenes
Sign Up to like & getrecommendations! Published in 2018 at "Human Brain Mapping"
DOI: 10.1002/hbm.24310
Abstract: Disappearance of a voice or other sound source may often go unnoticed when the auditory scene is crowded. We explored the role of selective attention for this change deafness with magnetoencephalography in multi‐speaker scenes. Each… read more here.
Keywords: speaker; change detection; selective attention;
Automatic change detection using multiindex information map on high-resolution remote sensing images
Sign Up to like & getrecommendations! Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-0917-1
Abstract: The problem of high quality training samples and high-dimensional data is encountered in high-resolution image change detection. To address these problems, a novel automatic change detection algorithm in bitemporal multispectral images of the same scene… read more here.
Keywords: change detection; detection; multiindex information;
Scene change detection: semantic and depth information
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-10793-4
Abstract: Change detection is widely used in city construction, remote image detection, autonomous driving and so on. The most important challenge in change detection is how to define the real change, that is to say, how… read more here.
Keywords: change; depth information; detection; change detection ... See more keywords
Change detection in SAR images based on superpixel segmentation and image regression
Sign Up to like & getrecommendations! Published in 2020 at "Earth Science Informatics"
DOI: 10.1007/s12145-020-00532-y
Abstract: Change detection (CD) is one of the most important application in remote sensing domain. The difference image (DI) generated by traditional change detection methods are sensitive to several factors, such as atmospheric condition changes, illumination… read more here.
Keywords: image; detection; regression; segmentation ... See more keywords
Unsupervised Change Detection of SAR Images Based on an Improved NSST Algorithm
Sign Up to like & getrecommendations! Published in 2018 at "Journal of the Indian Society of Remote Sensing"
DOI: 10.1007/s12524-017-0740-4
Abstract: In order to improve the accuracy of synthetic aperture radar (SAR) image change detection and have good change detection results, this paper proposes a method based on non-subsampled shearlet transform (NSST) detection in SAR images,… read more here.
Keywords: detection sar; detection; image; change detection ... See more keywords
Comparative analysis of machine learning and point-based algorithms for detecting 3D changes in buildings over time using bi-temporal lidar data
Sign Up to like & getrecommendations! Published in 2019 at "Automation in Construction"
DOI: 10.1016/j.autcon.2019.102841
Abstract: Abstract Building Change Detection techniques are critical for monitoring building changes and deformations, construction progress tracking, structural deflections and disaster management. However, the performance of relevant algorithms on airborne light detection and ranging (lidar) data… read more here.
Keywords: change detection; point; point based; detection ... See more keywords
Change detection in piping, gully head forms, and mechanisms
Sign Up to like & getrecommendations! Published in 2021 at "Catena"
DOI: 10.1016/j.catena.2021.105550
Abstract: Abstract Loess-derived soils in semi-arid regions are valuable resources. These regions have erosional landforms (e.g., piping, gully heads, and gullies) complexly produced by geo-environmental forces. Identification of the connections between landform patterns and the underlying… read more here.
Keywords: gully head; head forms; change detection; detection piping ... See more keywords
An interference model for visual working memory: Applications to the change detection task
Sign Up to like & getrecommendations! Published in 2022 at "Cognitive Psychology"
DOI: 10.1016/j.cogpsych.2022.101463
Abstract: Most studies of visual-working memory employ one of two experimental paradigms: change-detection or continuous-stimulus reproduction. In this study, we extended the Interference Model (IM; Oberauer & Lin, 2017), which was designed for continuous reproduction, to… read more here.
Keywords: non target; change detection; interference model; model ... See more keywords
Scene incongruity and attention
Sign Up to like & getrecommendations! Published in 2017 at "Consciousness and Cognition"
DOI: 10.1016/j.concog.2016.10.010
Abstract: Does scene incongruity, (a mismatch between scene gist and a semantically incongruent object), capture attention and lead to conscious perception? We explored this question using 4 different procedures: Inattention (Experiment 1), Scene description (Experiment 2),… read more here.
Keywords: incongruent object; incongruity; scene; attention ... See more keywords
Change detection and isolation in mechanical system parameters based on perturbation analysis
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.191
Abstract: The monitoring of mechanical systems aims at detecting damages at an early stage, in general by using output-only vibration measurements under ambient excitation. In this paper, a method is proposed for the detection and isolation… read more here.
Keywords: change detection; detection; mechanical system; detection isolation ... See more keywords
Mechatronics applications of condition monitoring using a statistical change detection method
Sign Up to like & getrecommendations! Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.100
Abstract: Abstract In this paper, we propose the use of a change detection strategy to perform condition monitoring of mechanical components. The method looks for statistical changes in the distribution of features extracted from raw measurements,… read more here.
Keywords: condition monitoring; method; change detection;