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Cited by 222

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Tracking non-rigid objects in complex scenes

Huttenlocher, D.P., Noh, J.J., Rucklidge, W.J.·2002·1993 (4th) International Conference on Computer Vision

Abstract

The authors describe a model-based method for tracking nonrigid objects moving in a complex scene. The method operates by extracting two-dimensional models of an object from a sequence of images. The basic idea underlying the technique is to decompose the image of a solid object moving in space into two components: a two-dimensional motion and a two-dimensional shape change. The motion component is factored out and the shape change is represented explicitly by a sequence of two-dimensional models, one corresponding to each image frame. The major assumption underlying the method is that the two-dimensional shape of an object will change slowly from one frame to the next. There is no assumption, however, that the two-dimensional image motion between successive frames will be small.>

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Crossref · 10.1109/iccv.1993.378231

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Metadata

Authors
Huttenlocher, D. P., Noh, J. J., & Rucklidge, W. J.
Venue
1993 (4th) International Conference on Computer Vision
Published
2002-12-30
Pages
93-101
OpenAlex
W2143060676
Cited by
222
References
1
FWCI
16.09
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tracking non-rigid objects in complex scenes. https://app.cochat.ai/papers/10.1109/iccv.1993.378231
The paper
Huttenlocher, D. P., Noh, J. J., & Rucklidge, W. J. (2002). Tracking non-rigid objects in complex scenes. 1993 (4th) International Conference on Computer Vision. https://doi.org/10.1109/iccv.1993.378231

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.