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 booklet constitutes the completely refereed post-conference court cases of the second one foreign Workshop on job tracking through 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 foreign convention on trend popularity. The nine revised complete papers incorporated within the quantity examine the demanding situations that come up while disbursed sensor networks are used to trace, video display, and comprehend the job, motive, and explanations of people. software components contain human-computer interplay, person 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

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Database Actions Subjects Source Views i3DPost [31] Path Year 13 8 Indoor Eight views Straight 2009 MuHAVi [32] 17 14 Indoor Eight views Straight 2010 IXMAS [33] 10 Indoor Five views 11 Closed curve 2006 Other multiview datasets, specifically designed for action recognition rather than gait recognition, are described then. A summary of them can be seen in Table 1. The i3DPost Multi-View Dataset [31] was recorded using a convergent eight camera setup to produce high definition multi-view videos, where each video depicts one of eight people performing one of twelve different human actions.

A scalable approach to activity recognition based on object use. es Abstract. In this paper, we introduce a new multi-view dataset for gait recognition. The dataset was recorded in an indoor scenario, using six convergent cameras setup to produce multi-view videos, where each video depicts a walking human. Each sequence contains at least 3 complete gait cycles. The dataset contains videos of 20 walking persons with a large variety of body size, who walk along straight and curved paths. The multi-view videos have been processed to produce foreground silhouettes.

1. Calibration of the studio multi-camera system can be done in less than 10 min using the above referenced techniques. Fig. 1. 3D artifact with Aruco [35] board of markers, used for getting the pose and orientation of each camera. 2 Database Description Using the camera setup described above, twenty humans (4 females and 16 males), participated in ten recording sessions each. Consequently, the database contains 200 multi-view videos or 1200 (6 × 200) single view videos. In the following paragraphs we describe the walking activity carried out by each actor of the database.

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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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