[PDF] Top 20 Multi-scale spatio-temporal analysis of human mobility

... of human mobility has been attributed to various factors, including differences between individual trajectories [36], search optimisation [37–40], the hierarchical organisation of the streets network [41] ... See full document

... of human activities have become increas- ingly significant research problems in the field computer vision, due to the growing demand of analysing large quantities of available ...detailed ... See full document

... First we compare the performance of (a) and (b). As shown in Table 2, the use of the combination of low- and high-level features results in considerable improvement in the recogni- tion and discrimination of nonmanual ... See full document

... of human activities have become increas- ingly significant research problems in the field computer vision, due to the growing demand of analysing large quantities of available ...detailed ... See full document

... location analysis would provide nearly real time reactions at user-specific spatio-temporal scales [5], a highly desirable feature in navigational services, assisted driving, ... See full document

... a multi-scale adaptive personalized model, namely MAPer, that models regular temporal human be- havior by capturing the effects of three temporal features: lag, cycle, and interaction ... See full document

... expensive multi-stage training pipeline as in [28] (Section ...their temporal localisation ...a Spatio-Temporal Motion Histogram. Moreover, [20] achieves temporal trim- ming using a ... See full document

... a spatio-temporal multi-level analysis can also highlight migrants’ agency and strategies to mobilize resources as capitals; building new capitals in new ...Our spatio-temporal ... See full document

... Locations and flows can be aggregated for reducing the size of the represented data, while still being able to uncover general patterns of flows. Kisilevich et al. [35] describe state-of-the-art approaches of clustering ... See full document

... for spatio-temporal data analysis and improve methods for mining and visualization for decision ...movement, mobility behaviour and be able to discover hidden patterns and associations in ... See full document

... Life-Logging Human Activity Recognition System for Elderly Care in Smart Indoor Environments," In the International Journal of Sensors, Volume 14, Number 7, ... See full document

... patient mobility has contin- ued to rise in ...patient mobility are the search for better treatment or treatment affordabil- ity, and the availability of specialized health care services ... See full document

... our analysis is based on data from groups of cells, wavelet amplitude mainly reflects the coherence among the cells of the periodic cytoskeletal rearrangement upon cAMP ... See full document

... presented multi-purpose frameworks using normal, as well as historical OSM files, osm- data-classification [22] was designed to analyse the data through time in order to classify contributors into cate- gories ... See full document

... directs us to divide the study area in four square sections. However, one may divide it in more (or even less) subsections than the demonstrated one. Furthermore, the study area can also be divided into circular zones, ... See full document

... and temporal information in a similar way to what are performed in the HVS cortex’s ...the scale-adaptive spatio- temporal Gaussian filter is introduced to handle multiple VOs under different ... See full document

... obtained from experiments performed in vitro but recently in vivo recordings have also been obtained [8,9]. However, it is uncertain what a spatio-temporal map (ST map) may entail. For example, it is not ... See full document

... a Spatio-Temporal Matching network (STM) for response selec- ...struct spatio-temporal features by aggregating attention images in time dimension and make use of 3D convolution and pooling ... See full document

... the spatio-temporal allocation problem in the main the text, the above approach is analogous to selecting allocations according to arg max d∈D C b ∞ (d; β b t , θ b t ) whereas Thompson sampling selects arg ... See full document

... mon sequences [14]), or even allow to search for fuzzy sequences [15]. As datasets may contain a large amount of such sequences, Cappers and van Weijk [16] present an event querying system that allows for fuzzy searches ... See full document