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

This ebook constitutes the completely refereed post-conference court cases of the second one overseas Workshop on job tracking by way 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 development reputation. The nine revised complete papers incorporated within the quantity examine the demanding situations that come up whilst disbursed sensor networks are used to trace, visual display unit, and comprehend the task, purpose, and explanations of people. program parts comprise human-computer interplay, consumer interface layout, robotic studying, and surveillance.

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

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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. 32 D. L´ opez-Fern´ andez et al. Fig. 2. , t9} represent the different trajectories followed by each actor of the dataset.

OU-ISIR gait dataset D contains 370 gait sequences of 185 subjects observed from the lateral view. The dataset D focuses on the gait fluctuations over a number of periods. The OU-ISIR gait dataset C is currently under preparation, and as far as we know, information about this has not been released yet. In contrast with OU-ISIR, the first available outdoor single-view database was from the Visual Computing Group of the UCSD (University of California, San Diego) [21]. The UCSD gait database includes six subjects with seven image sequences of each, from the side view.

Temporal pattern discovery for anomaly detection in a smart home. In: Proceedings of the 3rd IET Conference on Intelligent Environments (IE) (2007) 10. : Extracting places and activities from gps traces using hierarchical conditional random fields. Robot. Res. 26(1), 119–134 (2007) 11. : Activity recognition using temporal evidence theory. Ambient Intell. Smart Environ. 2(3), 253–269 (2010) 12. : Improving the recognition of interleaved activities. In: Proceedings of the 10th International Conference on Ubiquitous Computing (UbiComp) (2008) ˘ 13.

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