Titlebook: Activity Monitoring by Multiple Distributed Sensing; Second International Pier Luigi Mazzeo,Paolo Spagnolo,Thomas B. Moeslun Conference pro

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0302-9743 hop on Activity Monitoring by Multiple Distributed Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of ICPR 2014, the 22nd International Conference on Pattern Recognition. The 9 revised full papers included in the volume investigate the challenges that arise when

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Automatisierung und Verwaltung,te to perform general purpose complex tasks such as distributed people tracking. The paper describes the system architecture and illustrates the feasibility of the proposed approach through preliminary experimental results.

MOCK

0302-9743 distributed sensor networks are used to track, monitor, and understand the activity, intent, and motives of human beings. Application areas include human-computer interaction, user interface design, robot learning, and surveillance.978-3-319-13322-5978-3-319-13323-2Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Conference proceedings 2014ributed Sensing, AMMDS 2014, held in Stockholm, Sweden, in August 2014, as a satellite event of ICPR 2014, the 22nd International Conference on Pattern Recognition. The 9 revised full papers included in the volume investigate the challenges that arise when distributed sensor networks are used to tra

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Limousine

https://doi.org/10.1007/978-3-658-36859-3ssed to produce foreground silhouettes. To validate our dataset, we have extended some appearance-based 2D gait recognition methods to work with 3D data, obtaining very encouraging results. The dataset, as well as camera calibration information, is freely available for research purposes.

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Jessica Koch,Eckart Hauck,Ingrid Isenhardto avoid using trivial templates, the dictionary contains not only objects templates, but also background information, resulting in more robust estimation. The experiments demonstrate that our approach achieves favorable performance over state-of-the-art algorithms.

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