Download PDF by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund: Activity Monitoring by Multiple Distributed Sensing: Second

By Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund

ISBN-10: 3319133225

ISBN-13: 9783319133225

ISBN-10: 3319133233

ISBN-13: 9783319133232

This publication constitutes the completely refereed post-conference court cases of the second one overseas Workshop on task tracking by means of a number of allotted Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite tv for pc occasion of ICPR 2014, the twenty second overseas convention on trend reputation. The nine revised complete papers incorporated within the quantity examine the demanding situations that come up whilst allotted sensor networks are used to trace, video display, and comprehend the task, cause, and reasons of humans. software parts contain human-computer interplay, consumer interface layout, robotic studying, and surveillance.

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Extra resources for Activity Monitoring by Multiple Distributed Sensing: Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers

Example text

If γ never dies, we set its persistence to infinity. Drawing an horizontal segment [i, j), in a 2D plane, for a p-homology class that is born at time i and dies at time j, we get the p-barcode diagram of the filtration. It represents a p-homology class by a segment whose length is the persistence of that class. In this paper, barcodes are first computed for K[fmin ,fmax ] and K[−fmax ,−fmin ] . Then, the barcodes are explored according to a uniform sampling. More precisely, given an integer n > 0, n − 1 cuts are performed homogeneously in the complex K[fmin ,fmax ] (resp.

We fixed n = 24 and used 3 view directions. e. parallel to axis y). The second one forms 45 degrees with axes x and y and 90 degrees with axis t. The third one is parallel to axis t, (see Fig. 5). In each experiment, the results of our method are compared with the methods presented in [15,16]. The aim of this experiment is to evaluate the topological signature for gender classification. Table 1 shows the 25-fold-cross-validation of CCR for the whole body using lateral view, as aforementioned. We can see that the topological signature provides better results.

Carrying cond. Diff. walk. cond. Covariate conditions Occlusions Speed variation Clothes variation Gait fluctuation 20 153 122 35 34 68 370 124 Subjects 6 25 25 ˜ 100 12 20 10 10 Up to 5 1 68 Up to 32 185 10 Sequences 7 1 4 6 15 12 Indoor Outdoor Outdoor Indoor Indoor Indoor Indoor Indoor Source Outdoor Outdoor Indoor In-outdoor Indoor Outdoor No No No No Yes Yes Yes No Treadmill No No Yes Some seq. No No Six views Side Side Side Side Side Side 11 views Views Side Front, side Six views 0, 45, 90 0, 45, 90 0, 45, 90 Straight Elliptical Straight Straight Straight Straight Curved and straight Straight Path Circular Straight Straight Straight Straight Straight 2013 2012 2005 2005 2011 2005 2001 2002 Year 1998 2001 2001 Table 2.

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Activity Monitoring by Multiple Distributed Sensing: Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund


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