![]() ![]() areas to automatically describe a whole city. In this paper, we present some methods to exhibit the predominant activities and their associated urban. Such data make possible to identify meaningful city neighborhoods on the basis of the footprints left by a large and diverse population that uses this type of media. Geo-located social media provide a large amount of information describing urban areas based on user descriptions and comments. Our approach was evaluated on benchmark sequences and results show how it outperforms state-of-the-art algorithms even in the presence of long periods of occlusion Read more This model is able to detect false positives and false negatives in the detection measurements and it can also estimate the location of missing or occluded people. When a total occlusion event occurs, the model generates three possible hypotheses about the location of the occluded person according to a human interaction analysis. ![]() ![]() We propose a tracking graph that models spatial and temporal relationships among people in order to predict and resolve partial and total occlusions. occluded, or abruptly change their trajectories. The problem is emphasized when individuals move close to each other, are. This domain is very challenging since the clothing appearance changes of the people over time make difficult the temporal association of their identities. In this work we investigate the problem of tracking multiple interacting people under uncontrolled stationary environments for intelligent surveillance applications. The results suggest that the low interrater agreement often associated with visual analysis of single-subject data may be improved by simple supplements to visually inspected charts. This relationship between change in slope and rater disagreement was not present in the trend line group. There was a statistically significant correlation between the change in slope across the phases of the AB design and a score reflecting disagreement among raters in the visual analysis group. interrater agreement was higher for the trend line group than for the group relying only on visual analysis. As measured by intraclass correlation coefficients. The remaining 40 subjects reviewed AB graphs that were supplemented by a trend line. Thirty-nine of the raters examined graphs containing single-subject data arrayed in the traditional format. Seventy-nine raters were given 21 single-subject graphs. The interrater agreement of visual judgments made from single-subject data was examined. ![]()
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