Download e-book for kindle: Activity Monitoring by Multiple Distributed Sensing: Second by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund

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 foreign Workshop on job tracking by way of a number of disbursed 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 development popularity. The nine revised complete papers incorporated within the quantity examine the demanding situations that come up while dispensed sensor networks are used to trace, display screen, and comprehend the task, cause, and causes of humans. program 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

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People walking in different directions, from multiple points of view. Fig. 4. 3D reconstructed gait sequences. Example of reconstructed gait sequences, sampled at 2 Hz, where each point represents the center of a squared voxel. 34 D. L´ opez-Fern´ andez et al. volumes along the gait sequence. The whole gait sequences can be reconstructed, as shown in Fig. 4. Then, these gait volumes are aligned and centred respect to a global reference system. After this, we can get rendered projections of these volumes to test 2D-based gait recognition algorithms.

26–39, 2014. 1007/978-3-319-13323-2 3 The AVA Multi-View Dataset for Gait Recognition 27 is not as natural as it should be, the gait speed is usually constant, and the subjects cannot turn right or left. They are not representative of human gait in a real world. g. [20]. Some of the gait recognition methodologies require camera calibration to deal with 3D information. In addition, there are not many multi-view datasets specifically designed for gait. Some of them are designed for action recognition, and therefore they do not contain gait sequences of enough length as to contain several gait cycles, because gait is a subset of them.

People walking in different directions, from multiple points of view. Fig. 4. 3D reconstructed gait sequences. Example of reconstructed gait sequences, sampled at 2 Hz, where each point represents the center of a squared voxel. 34 D. L´ opez-Fern´ andez et al. volumes along the gait sequence. The whole gait sequences can be reconstructed, as shown in Fig. 4. Then, these gait volumes are aligned and centred respect to a global reference system. After this, we can get rendered projections of these volumes to test 2D-based gait recognition algorithms.

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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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