Real-time tracking of highly articulated structures in the presence of noisy measurements

T. Drummond, R. Cipolla

Research output: Contribution to conferencePaper

47 Citations (Scopus)

Abstract

This paper presents a novel approach for model-based real-time tracking of highly articulated structures such as humans. This approach is based on an algorithm which efficiently propagates statistics of probability distributions through a kinematic chain to obtain maximum a posteriori estimates of the motion of the entire structure. This algorithm yields the least squares solution in linear time (in the number of components of the model) and can also be applied to non-Gaussian statistics using a simple but powerful trick. The resulting implementation runs in real-time on standard hardware without any pre-processing of the video data and can thus operate on live video. Results from experiments performed using this system are presented and discussed.

Original languageEnglish
Pages315-320
Number of pages6
Publication statusPublished - 1 Jan 2001
Externally publishedYes
Event8th International Conference on Computer Vision - Vancouver, Canada
Duration: 9 Jul 200112 Jul 2001

Conference

Conference8th International Conference on Computer Vision
CountryCanada
CityVancouver
Period9/07/0112/07/01

Cite this

Drummond, T., & Cipolla, R. (2001). Real-time tracking of highly articulated structures in the presence of noisy measurements. 315-320. Paper presented at 8th International Conference on Computer Vision, Vancouver, Canada.