This paper addresses the problem of estimating time to collision from local motion field measurements in the case of unconstrained relative rigid motion and surface orientation. It is first observed that, as long as time to collision is regarded as a scaled depth, the above problem does not admit a solution unless a narrow camera field of view is assumed. By a careful generalization of the time to collision concept, it is then expounded how to compute novel solutions which hold however wide the field of view. The formulation, which reduces to known literature approaches in the narrow field of view case, extends the applicability range of time to collision based techniques in areas such as mobile robotics and visual surveillance. The experimental validation of the main theoretical results includes a comparison of narrow- and wide-field of view time to collision approaches using both dense and sparse motion estimates.
GENERALIZED BOUNDS FOR TIME TO COLLISION FROM FIRST-ORDER IMAGE MOTION / Carlo COLOMBO; Alberto DEL BIMBO. - STAMPA. - (1999), pp. 220-226. (Intervento presentato al convegno ICCV99, 7TH IEEE INT. CONF. ON COMPUTER VISION tenutosi a CORFU, GREECE nel September 1999) [10.1109/ICCV.1999.791223].
GENERALIZED BOUNDS FOR TIME TO COLLISION FROM FIRST-ORDER IMAGE MOTION
Carlo COLOMBO
;Alberto DEL BIMBO
1999
Abstract
This paper addresses the problem of estimating time to collision from local motion field measurements in the case of unconstrained relative rigid motion and surface orientation. It is first observed that, as long as time to collision is regarded as a scaled depth, the above problem does not admit a solution unless a narrow camera field of view is assumed. By a careful generalization of the time to collision concept, it is then expounded how to compute novel solutions which hold however wide the field of view. The formulation, which reduces to known literature approaches in the narrow field of view case, extends the applicability range of time to collision based techniques in areas such as mobile robotics and visual surveillance. The experimental validation of the main theoretical results includes a comparison of narrow- and wide-field of view time to collision approaches using both dense and sparse motion estimates.File | Dimensione | Formato | |
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