Stochastic tracking of 3D human figures using 2D image motion
2000
Conference Paper
ps
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appearance, a robust likelihood function based on image gray level differences, and a prior probability distribution over pose and joint angles that models how humans move. The posterior probability distribution over model parameters is represented using a discrete set of samples and is propagated over time using particle filtering. The approach extends previous work on parameterized optical flow estimation to exploit a complex 3D articulated motion model. It also extends previous work on human motion tracking by including a perspective camera model, by modeling limb self occlusion, and by recovering 3D motion from a monocular sequence. The explicit posterior probability distribution represents ambiguities due to image matching, model singularities, and perspective projection. The method relies only on a frame-to-frame assumption of brightness constancy and hence is able to track people under changing viewpoints, in grayscale image sequences, and with complex unknown backgrounds.
Award: | (Winner of the 2010 Koenderink Prize for Fundamental Contributions in Computer Vision) |
Author(s): | Sidenbladh, H. and Black, M. J. and and Fleet, D.J. |
Book Title: | European Conference on Computer Vision, ECCV |
Pages: | 702-718 |
Year: | 2000 |
Month: | June |
Series: | LNCS 1843 |
Publisher: | Springer Verlag |
Department(s): | Perceiving Systems |
Bibtex Type: | Conference Paper (inproceedings) |
Paper Type: | Conference |
Address: | Dublin, Ireland |
Award Paper: | Winner of the 2010 Koenderink Prize for Fundamental Contributions in Computer Vision |
Links: |
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BibTex @inproceedings{Black:ECCV:2000, title = {Stochastic tracking of {3D} human figures using {2D} image motion}, author = {Sidenbladh, H. and Black, M. J. and and Fleet, D.J.}, booktitle = {European Conference on Computer Vision, ECCV}, pages = {702-718}, series = {LNCS 1843}, publisher = {Springer Verlag}, address = {Dublin, Ireland}, month = jun, year = {2000}, doi = {}, month_numeric = {6} } |