title: Segmenting, modeling, and matching video clips containing multiple moving objects.
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.
authors.affiliation: Sandia National Laboratories, Albuquerque, NM 87123, USA. fred@rothganger.org
authors.forename: Fred
authors.initials: F
authors.lastname: Rothganger
authors.forename: Svetlana
authors.initials: S
authors.lastname: Lazebnik
authors.forename: Cordelia
authors.initials: C
authors.lastname: Schmid
authors.forename: Jean
authors.initials: J
authors.lastname: Ponce
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods; D008962:Models, Theoretical; D009038:Motion; D009068:Movement; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014741:Video Recording / Q000379:methods*