Robust object matching for persistent tracking with heterogeneous features

Robust object matching for persistent tracking with heterogeneous features

This paper addresses the problem of matching vehicles across multiple sightings under variations in illumination and camera poses. Since multiple observations of a vehicle are separated in large temporal and/or spatial gaps, thus prohibiting the use of standard frame-to-frame data association, we em...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 29(2007), 5 vom: 13. Mai, Seite 824-39
1. Verfasser: Guo, Yanlin (VerfasserIn)
Weitere Verfasser: Hsu, Steve, Sawhney, Harpreet S, Kumar, Rakesh, Shan, Ying
Format: Aufsatz
Sprache:English
Veröffentlicht: 2007
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, U.S. Gov't, Non-P.H.S.