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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/19681

Title: Motion model selection in tracking humans
Other Titles: IET Irish Signals and Systems Conference: Dublin: 2006
ISSC 2006
Author: BOLAND, FRANCIS MORGAN
Author's Homepage: http://people.tcd.ie/fboland
Keywords: Kalman Filter
Motion Modelling
Tracking
Issue Date: 2006
Publisher: IET
Citation: D. Kelly, F. Boland., Motion model selection in tracking humans: [in] proceedings of IET Irish Signals and Systems Conference (ISSC 2006), Dublin: IET, 2006, pp363-368
Abstract: The performance of many human tracking algorithms rely on accurate motion models. Due to the nature of human motion it is often difficult to determine the suitability of a chosen model. It is typically the case that over the tracking duration the characteristics of the observed motion will fit many different models. Commonly used motion models in the area of tracking include the constant position (CP), constant velocity (CV) and constant acceleration (CA) motion models. This paper applies the Kalman filtering algorithm to the problem of tracking a person's position using a finite set of different motion models. The statistical properties of the innovation sequence are used as a basis for motion model selection
Description: PUBLISHED
URI: http://ieeexplore.ieee.org/iel5/4123843/4123844/04123927.pdf?tp=&arnumber=4123927&isnumber=4123844
http://hdl.handle.net/2262/19681
Appears in Collections:Electronic & Electrical Eng (Scholarly Publications)

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