We are developing the machine learning method for estimation about pedestrian number by using single camera in the crowded environments. Counting people is valuable for applications such as traffic analysis. In the crowded environment, detection or tracking of each individual…
This project is how to model the driving behavior, such as cautious or aggressive driving, from data of sensors on cars. Specifically, our method learns the model fitting to each individual driver, situation, and physical condition, even if the training…
For executing flexible support or substitution for residents’ behaviors, it is important to recognize and predict their ever-changing activities. From that background, we realized some novel methods of sensing residents’ data of daily life and predicting the target behaviors for…
In order to improve active safety technologies, some researchers have investigated adaptive assistance systems designed by modeling individual behavior of the assisted driver. However most of them could not build applicable model without large individual driving data sets, because they…
This paper deals with the sensor arrangement for activity classification of the people living alone with pyroelectric sensors, so that the system acquires as high precision of classification with as small sensor numbers as possible. We suggest some heuristic algorithms…