Human Head Tracking for Video Indexing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03144361" target="_blank" >RIV/68407700:21230/07:03144361 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Human Head Tracking for Video Indexing
Original language description
The objective of this research is to design and experimentally evaluate algorithms for human head tracking using a single camera. We summarize the existing approaches on 2D, rigid 3D and nonrigid 3D head tracking and their applications in automatic videoindexing. We compare several different search strategies and criterial functions for tracking with a textured ellipsoidal head model and Ransac-based approach with a point-based model and bundle adjustment. We also describe and evaluate 2 new approachesfor combination of contour and point features. We outline the plans for future work. We plan to extend and evaluate the robustness of the methods, explore the other possibilities of combining different features and deal with the problem of resource allocation for different algorithms used in video indexing.
Czech name
Human Head Tracking for Video Indexing
Czech description
The objective of this research is to design and experimentally evaluate algorithms for human head tracking using a single camera. We summarize the existing approaches on 2D, rigid 3D and nonrigid 3D head tracking and their applications in automatic videoindexing. We compare several different search strategies and criterial functions for tracking with a textured ellipsoidal head model and Ransac-based approach with a point-based model and bundle adjustment. We also describe and evaluate 2 new approachesfor combination of contour and point features. We outline the plans for future work. We plan to extend and evaluate the robustness of the methods, explore the other possibilities of combining different features and deal with the problem of resource allocation for different algorithms used in video indexing.
Classification
Type
O - Miscellaneous
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1ET101210407" target="_blank" >1ET101210407: Multi-camera system for modeling and recognition of events</a><br>
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2007
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů