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Updated: Jul 17, 2026

Long-term Video Tracking of Cohoused Aquatic Animals: A Case Study of the Daily Locomotor Activity of the Norway Lobster (Nephrops norvegicus)
Published on: April 8, 2019
Segmenting, modeling, and matching video clips containing multiple moving objects
Fred Rothganger1, Svetlana Lazebnik, Cordelia Schmid
1Sandia National Laboratories, Albuquerque, NM 87123, USA. fred@rothganger.org
Abstract:
This paper presents a novel representation for dynamic scenes composed of multiple rigid objects that may undergo different motions and are observed by a moving camera. Multiview constraints associated with groups of affine-covariant scene patches and a normalized description of their appearance are used to segment a scene into its rigid components, construct three-dimensional models of these components, and match instances of models recovered from different image sequences. The proposed approach has been applied to the detection and matching of moving objects in video sequences and to shot matching, i.e., the identification of shots that depict the same scene in a video clip.
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