spatio-temporal context
A Robust Vision-based Method for Displacement Measurement under Adverse Environmental Factors using Spatio-Temporal Context Learning and Taylor Approximation
... vision, environmental factors, spatio-temporal context, Taylor approximation.. 33 34.[r] ...
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An Object Tracking Method Combined Spatio temporal Context Learning with Color Features
... Abstract. The correlation filtering tracking approaches have attracted much attention because of its high-speed and robustness. For further improving the efficiency and robustness in tracking. We propose the usage of ...
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Real time eye tracking using Kalman extended spatio temporal context learning
... Extended Spatio-Temporal Context Learning is tested in real time by using the prototype of the eye ...Extended Spatio-Temporal Context Learning in real time we face challenges ...
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Implementation of Robust Visual Tracker by using Weighted Spatio-Temporal Context Learning Algorithm
... weighted spatio-temporal context learning algorithm, in which we have illustrated by performing experiments on image frame sequences as well as video file of avi ...surrounding context ...
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A Robotic Context Query-processing Framework based on Spatio-temporal Context Ontology
... past context. Therefore, we propose a context query- processing framework, comprising spatio-temporal robotic context query language (ST-RCQL) and spatio-temporal robotic ...
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Anomaly detection through spatio temporal context modeling in crowded scenes
... Considering the fact that mutual interference of several human body parts potentially happen in the same block, we propose an atomic motion pattern representation using the Gaussian Mixt[r] ...
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Spatio-Temporal Context in Agent-Based Meeting Scheduling
... the context they use for making their local ...the context they use to make local decisions overlaps with that of the other agents, the agents gain more context information along with critical paths ...
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Spatio-temporal information for human action recognition
... the spatio-temporal volume which makes the representation sensitive to the absolute coordinate ...the spatio- temporal volume to grids, computed the histogram of visual word occurrence over ...
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A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in Greater London
... residual spatio-temporal auto- correlation in the respiratory disease data after the covar- iate effects have been removed, which if ignored can bias the estimated health effects of air ...of ...
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Mathematical Genesis of the Spatio Temporal Covariance Functions
... nonseparable context, efforts have been focus on obtaining general classes of spatio-temporal ...stationary spatio-temporal covariances assuming isotropy in space and ...obtain ...
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Curiosity driven search: When is relevance irrelevant?
... Classical information search behaviour models based on work- task scenarios fail to explain common leisure search scenar- ios motivated by a hedonistic need rather than a defined information need. This paper presents ...
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Region-Based Message Exploration over Spatio-Temporal Data Streams
... of spatio-temporal data streams and their vast topic coverage, it is of great interest for users to discover and monitor trending events and topics based on their preferred spatial and textual ...the ...
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A Framework for Analyzing Spectrum Characteristics in Large Spatio-temporal Scales
... To address these limitations, our goal is to design a general- purpose spectrum data analysis framework, through which a user can efficiently enable various applications (apps) to answer his/her spectrum related queries ...
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Spatio temporal analysis of land use/land cover shift in Jabalpur City, Madhya Pradesh
... . The temporal land use/land cover significantly. For example, in 2009 built up areas were 85.9 km2 which increased gradually to 99.06 km2 in 2016, signifying +13.16% growths within 7 years intervals. Figures 3.3 ...
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Spatio-temporal sequential pattern mining for tourism sciences
... taker spatio-temporal ...the temporal aspect there exists no human identifiable trend for the whole datasets that describes at what time of the year photos are being ...
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What can Synergetics contribute to embodied aesthetics?
... While the readers of my paper are surely familiar with what behavioral science is about, this need not be so concerning Synergetics and why it may be of interest to behavioral science. Synergetics („science of ...
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Martinis, Sandro (2010): Automatic near real-time flood detection in high resolution X-band synthetic aperture radar satellite data using context-based classification on irregular graphs. Dissertation, LMU München: Fakultät für Geowissenschaften
... Since a flood separating threshold value depends on many factors such as environmental and, satellite system parame- ters, it can be highly variable and has to be determined in- dividually for each satellite scene. In ...
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Spatio-temporal approach to moving window block kriging of satellite data v1.0
... real temporal variability within a block becomes noise. A spatio-temporal approach, by con- trast, treats time as an explicit dimension and models covari- ances among data as a function of ...
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Extending INSPIRE to the Internet of Things through SensorThings API
... SOS 2.0 (Sensor Observation System) Pre-defined and direct access Spatio-temporal observations.. All the solutions described in Table 1 might be used to serve spatio-temporal data with c[r] ...
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Phenology of Trichodesmium spp. blooms in the Great Barrier Reef lagoon, Australia, from the ESA-MERIS 10-year mission
... However, because of the lack of systematic studies of Trichodesmium bloom events in the GBR, the understanding of their temporal and spatial dynamics within the system remains limited [4]. Based on field ...
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