Abstract
In this paper we use a simple, active-camera model to estimate the time-to-contact (TTC) of a moving object. We estimate TTC by enforcing a "uniform scale" constraint on the moving object. By actively adjusting the focal length of the pinhole model, the projected object maintains a fixed image scale regardless of its motion. These adjustments on the ideal pinhole focal length are translated into changes of the actual zoom and focus settings of a real camera system. We obtain improvements over a fixed-camera approach because the scale adjustment (zoom) improves image divergence measurements. We show experimental results indicating that our active method can reduce errors over a larger distance range than fixed-camera methods of estimating time-to-contact.
Original language | English |
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Title of host publication | Computer Analysis of Images and Patterns - 6th International Conference, CAIP 1995, Proceedings |
Editors | Vaclav Hlavac, Radim Sara |
Pages | 944-949 |
Number of pages | 6 |
DOIs | |
State | Published - 1995 |
Event | 6th International Conference on Computer Analysis of Images and Patterns, CAIP 1995 - Prague, Czech Republic Duration: Sep 6 1995 → Sep 8 1995 |
Publication series
Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Volume | 970 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 6th International Conference on Computer Analysis of Images and Patterns, CAIP 1995 |
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Country/Territory | Czech Republic |
City | Prague |
Period | 9/6/95 → 9/8/95 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 1995.
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science