Conference proceeding
A robust hierarchical probabilistic framework for visual target tracking
[Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, v 4, pp 2457-2460 vol.4
1991
Abstract
A robust and efficient technique for detection of region boundaries in a sequence of images is the foundation for a hierarchical framework for visual target tracking. This robust technique is a multi-hypothesis test that searches for a boundary that maximizes a certain performance criterion. The framework also consists of a technique to restore noisy images when the parameters are not known and also filtering to predict positions and orientations of successive images.< >
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1 citations in Scopus
Details
- Title
- A robust hierarchical probabilistic framework for visual target tracking
- Creators
- M Pyeron - Drexel UniversityA Waks - Drexel UniversityG Gregoriou - Drexel UniversityO Tretiak - Drexel UniversityI Bar-Kana - Drexel UniversityIEEE
- Publication Details
- [Proceedings] ICASSP 91: 1991 International Conference on Acoustics, Speech, and Signal Processing, v 4, pp 2457-2460 vol.4
- Publisher
- IEEE
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- [Retired Faculty]
- Web of Science ID
- WOS:A1991BT68N00614
- Scopus ID
- 2-s2.0-0026401083
- Other Identifier
- 991019182653204721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Acoustics
- Engineering, Electrical & Electronic
- Optics
- Telecommunications