Results 221 to 230 of about 65,415 (265)
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Spatio-temporal Integrated Analysis with MAPAL
2014The integrated management of entities and coverages is still an issue for current technologies in the area of GIS. Current tools provide interfaces with many operations for vector and raster analysis, which are not easy to combine. Defining new operations always requires programming.
Sebastián Villarroya +3 more
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Spatio-Temporal Multifeature for Facial Analysis
2012Human faces are 3D complex objects consisting of geometrical and appearance variations. They exhibit local and global variations when observed over time. In our daily life communication, human faces are seen in actions conveying a set of information during interaction.
Zahid Riaz, Michael Beetz
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Recognizing facial expressions by spatio-temporal analysis
Proceedings of 12th International Conference on Pattern Recognition, 2002An approach for analysis and representation of facial dynamics for recognition of facial expressions from image sequences is proposed. The algorithms the authors develop utilize optical flow computation to identify the direction of rigid and non-rigid motions that are caused by human facial expressions.
Yaser Yaccob, Larry Davis 0001
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CO2 spatio-temporal analysis in the Iberian Peninsula
Science of The Total Environment, 2019A comparison between monthly CO2 values calculated in the Iberian Peninsula and those measured during six years commencing on October 2010 in the centre of its upper plateau is presented. Gaussian and Epanechnikov kernels are used to calculate CO2 concentration and its growth rate in the study region from values at certain grid points.
Isidro A, Pérez +4 more
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Qualitative analysis of spatio-temporal event detectors
2008 19th International Conference on Pattern Recognition, 2008Interest point detection is an established method to select relevent image regions. Such techniques use features like corners or edges, which are known to indicate regions likely to hold patterns of interest. Selection of such regions increases processing efficiency. For the recognition of motion, however, such context-free methods are still very rare.
Benedikt Kaiser, Gunther Heidemann
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A framework of spatio-temporal analysis for video surveillance
2008 IEEE International Symposium on Circuits and Systems (ISCAS), 2008This paper presents a video surveillance system that is capable of detecting and classifying moving targets in real-time. The system extracts moving targets from a video stream and classifies them into predefined categories according to their spatiotemporal properties.
Duan-Yu Chen +4 more
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Spatio-temporal dipole analysis
1999In general, event-related potentials (ERP) and event-related fields (ERF) represent a mixture of components originating from functionally different brain processes. The task of disentangling these components requires firm assumptions about their properties. Often it is assumed that each functional component is characterised by one temporal component (i.
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Harmonic analysis associated with spatio-temporal transformations
Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing (Cat. No.00TH8496), 2002The paper presents new developments in harmonic analysis associated with the motion transformations embedded in digital signals. In this context, harmonic analysis provides motion analysis with a complete theoretical construction of perfectly matching concepts and a related toolbox leading to fast algorithms.
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Analysis of Spatio-temporal Patterns
1996In the foregoing section we saw how spatio-temporal patterns can be built up from elementary spatial patterns, i.e. from the v’s. In the analysis of spatio-temporal patterns in nature, including those occurring in brain activities, we are quite often confronted with the reverse problem. As we have seen in Sect.
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Contextual Analysis of Spatio-Temporal Walking Observations
2018Analysis of human movement data is becoming more popular in several applications. Particularly, analyzing sport movement data has been demanding. Most of the attempts made on this are, however, have focused on spatial aspects of the movement to extract some movement characteristics, such as positional pattern and similarities.
K. Amouzandeh +2 more
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