Title :
Foot position estimations for moving objects using a mixture model
Author :
Hirose, First T. ; Morishita, Second S. ; Asama, Third H.
Author_Institution :
Fac. of Eng., Univ. of Tokyo, Kashiwa
Abstract :
As a sensing technology, the use of monocular cameras for security is widespread. This paper presents a proposal of a novel method for positioning moving objects in footage obtained from monocular cameras. The proposed method, which estimates foot position by calculating the mean and the variance of the figure field, is inapplicable to plural persons. We presume Gaussian mixture models in the image and estimate each distribution, which enables position estimation of many pedestrians.
Keywords :
Gaussian processes; image motion analysis; image sensors; object detection; security; Gaussian mixture models; foot position estimations; monocular cameras; moving objects; security; Cameras; Foot; Infrared sensors; Optical sensors; Proposals; Pyroelectricity; Security; Sensor arrays; Sensor fusion; Sensor phenomena and characterization;
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 2008. MFI 2008. IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4244-2143-5
Electronic_ISBN :
978-1-4244-2144-2
DOI :
10.1109/MFI.2008.4648089
