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For object detection, large-scale databases obtained via an in-vehicle camera have been proposed. The databases are generally used to evaluate object detection methods and/or to train classifiers in these methods. When proposing a new database, we should evaluate the characteristics of a large number of the samples in the database to improve the usability of the proposed database. In the evaluation,...
Object re-identification techniques are essential to improve the identification performance in video surveillance tasks. The re-identification problem is equal to a multi-view problem that an unknown individual is identified across spatially disjoint data. For the re-identification techniques, several multi-view feature transformation methods have been proposed. These methods are formulated by the...
We have developed a real-time vital signs monitoring system for two years in 2012 and 2013. Just by putting a single vital sensor node to the back waist position of each player and placing four data collection nodes around a field, the system can monitor at a note PC heart rate (HR), energy expenditure (EE) and body temperature (BT) for all players during a football game in real-time, periodically...
Real-time vital data monitoring for athletes during training and game is essential for planning effective training menus and avoiding injuries and diseases. Especially for team sports such as footfall and rugby, how to reliably collect vital data from many players spread in a large field is a key issue. In our previous work [1], we developed a real-time vital data collection system in which a wireless...
In order to plan effective training menus and avoid injuries and diseases, vital signs monitoring for athletes during training and game is essential, where a key issue is how to collect vital data reliably and in real-time from many people spread in a large field. To realize such a real-time vital data monitoring system, we developed prototype wireless vital sensor nodes, and conducted twice field...
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