Paper
30 May 2000 Video retrieval based on the object's motion trajectory
Kyu-Won Lee, Woong-Shik You, Jinwoong Kim
Author Affiliations +
Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386558
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
Abstract
This paper presents an efficient way of indexing and searching based on object-specific feature for video retrieval at different semantic levels. By tracking individual objects with segmented data, we generate motion trajectories with moving trails of objects and set a model using polynomial curve fitting. The trajectory model is used as an indexing key for accessing each object in the semantic level. The proposed searching system supports various types of queries including query-by-example, query- by-sketch and query on weighting parameters for event-based retrieval. When retrieving the interested video clips, the system returns the best-matched events in the similarity order. In addition, we implement a temporal event graph for direct accessing and browsing a specific event in the video sequence.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kyu-Won Lee, Woong-Shik You, and Jinwoong Kim "Video retrieval based on the object's motion trajectory", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386558
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Video

Video surveillance

Data modeling

Roads

Surveillance

Motion models

Semantic video

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