Content-based video retrieval by indexing object's motion trajectory

We propose a video retrieval scheme indexing the object's motion trajectory information. The motion trajectories of moving objects are partitioned by fixed time intervals. Each segmented motion trajectory is described using the coefficients of 2/sup nd/ order polynomials that represent the cent...

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Main Authors: You, W, Lee, Kyu Won, Kim, J-G, Kim, J, Kwon, O-S
Format: Conference Proceeding
Language:English
Subjects:
Computational complexity
Computer simulation
Content based retrieval
Equations
Indexing
Indexing (of information)
Information retrieval
Mathematical models
Object detection
Performance evaluation
Polynomials
Time and motion study
Tracking
Trajectory
Video sequences
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creator You, W
Lee, Kyu Won
Kim, J-G
Kim, J
Kwon, O-S
description We propose a video retrieval scheme indexing the object's motion trajectory information. The motion trajectories of moving objects are partitioned by fixed time intervals. Each segmented motion trajectory is described using the coefficients of 2/sup nd/ order polynomials that represent the centroids of the moving objects in time evolution. The set of polynomial coefficients is used as a motion trajectory descriptor. The proposed scheme provides small-sized indexing and low matching complexity.
doi_str_mv 10.1109/ICCE.2001.935341
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Computational complexity
Computer simulation
Content based retrieval
Equations
Indexing
Indexing (of information)
Information retrieval
Mathematical models
Object detection
Performance evaluation
Polynomials
Time and motion study
Tracking
Trajectory
Video sequences
title Content-based video retrieval by indexing object's motion trajectory
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