Japanese | English

Tetsushi IKEDA

top page  profile  research projects  publications

Signal-level integration of different kinds of sensors

When various sensors, such as cameras and microphones, measure the motion of the same object, they observe temporally synchronized signal components. Focusing on this synchronization between heterogeneous sensors, we have shown that various sensors can be integrated to identify and track the measured object.

Tetsushi Ikeda, Hiroshi Ishiguro, Dylan F. Glas, Masahiro Shiomi, Takahiro Miyashita, and Norihiro Hagita, Perceptual Binding for Different Types of Sensors based on Signal Motion Correlation, IEICE Trans. D, Vol. J97-D, No. 3, pp. 687-699, 2014. (In Japanese)

Tetsushi Ikeda, Hiroshi Ishiguro, Takahiro Miyashita, and Norihiro Hagita, Pedestrian Identification by Associating Wearable and Environmental Sensors based on Phase Dependent Correlation of Human Walking, Journal of Ambient Intelligence and Humanized Computing, Vol. 5, No. 5, pp. 645-654, 2014. doi:10.1007/s12652-013-0191-x, [LINK]

Tetsushi Ikeda, Takahiro Miyashita, Hiroshi Ishiguro, and Norihiro Hagita, "Pedestrian Identification by Associating Walking Rhythms from Wearable Acceleration Sensors and Biped Tracking Result," Int. Conf. on Pervasive and Embedded Computing and Communication Systems (PECCS), pp. 21-28, 2012 (best paper award).

Tetsushi Ikeda, Hiroshi Ishiguro, Dylan F. Glas, Masahiro Shiomi, Takahiro Miyashita, and Norihiro Hagita, "Person Identification by Integrating Wearable Sensors and Tracking Results from Environmental Sensors," Proc. IEEE Int. Conf. on Robotics and Automation (ICRA), pp. 2637-2642, 2010

Tetsushi Ikeda, Hiroshi Ishiguro, Takuichi Nishimura, People Tracking and Identification by Statistical Integration of Floor Sensors and Acceleration Sensors, SICE Trans., Vol. 45, No. 1, pp. 60-68, 2009 (In Japanese) doi:10.9746/sicetr.45.60, [LINK]

Tetsushi Ikeda, Hiroshi Ishiguro, and Takuichi Nishimura, "People Tracking by Cross Modal Association of Vision Sensors and Acceleration Sensors," Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), pp.4147-4151, 2007.

Tetsushi Ikeda, Hiroshi Ishiguro, Minoru Asada, Moving Signal-Source Tracking Based on Mutual Information Maximization, IEICE Trans. D, Vol. J90-D, No. 2, pp.535-543, 2007 (In Japanese)

Tetsushi Ikeda, Kengo Murota, Hiroshi Ishiguro, Media Conversion from Omnidirectional Vision to Auditory Signal, IPSJ Trans., Vol. 48, No.1, pp.274-283, 2007 (In Japanese)

Tetsushi Ikeda, Hiroshi Ishiguro, and Takuichi Nishimura, "People tracking by fusing different kinds of sensors, floor sensors and acceleration sensors, " Proc. IEEE Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp.530-535, 2006

Karl F. MacDorman, Hiroshi Nobuta, Tetsushi Ikeda, Satoshi Koizumi, Hiroshi Ishiguro, “A memory-based distributed vision system that employs a form of attention to recognize group activity at a subway station,” Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), pp.571-576, 2004.

Tetsushi Ikeda, Takeshi Ishida, and Hiroshi Ishiguro, "Framework of Distributed Audition," 13th IEEE Int. Workshop on Robot and Human Interactive Communication (RO-MAN), pp. 77-82, 2004.

Tetsushi Ikeda, Hiroshi Ishiguro, and Minoru Asada, "Sensor fusion as optimization: maximizing mutual information between sensory signals, " Proc. Int. Conf. on Pattern Recognition (ICPR), Vol.2, pp.501-504, 2004.

Takuya Murakita, Tetsushi Ikeda, and Hiroshi Ishiguro, "Multisensor Human Tracker based on the Markov Chain Monte Carlo Method," Proc. Int. Conf. on Pattern Recognition (ICPR), Vol. 2, pp. 917-920, 2004.

Tetsushi Ikeda, Hiroshi Ishiguro, and Minoru Asada, "Adaptive Fusion of Sensor Signals based on Mutual Information Maximization," Proc. IEEE Int. Conf. on Robotics and Automation (ICRA), pp.4398-4402, 2003.

Tetsushi Ikeda, Hiroshi Ishiguro, and Minoru Asada, "Attention to Clapping - A Direct Method for Detecting Sound Source from Video and Audio -," Proc. IEEE Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp. 264 - 268, 2003.



Last modified: 2023-5-31 ikeda