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DAGM
2006
Springer

Integrating Recognition and Reconstruction for Cognitive Traffic Scene Analysis from a Moving Vehicle

9 years 27 days ago
Integrating Recognition and Reconstruction for Cognitive Traffic Scene Analysis from a Moving Vehicle
This paper presents a practical system for vision-based traffic scene analysis from a moving vehicle based on a cognitive feedback loop which integrates real-time geometry estimation with appearance-based object detection. We demonstrate how those two components can benefit from each other's continuous input and how the transferred knowledge can be used to improve scene analysis. Thus, scene interpretation is not left as a matter of logical reasoning, but is instead addressed by the repeated interaction and consistency checks between different levels and modes of visual processing. As our results show, the proposed tight integration significantly increases recognition performance, as well as overall system robustness. In addition, it enables the construction of novel capabilities such as the accurate 3D estimation of object locations and orientations and their temporal integration in a world coordinate frame. The system is evaluated on a challenging real-world car detection task i...
Bastian Leibe, Nico Cornelis, Kurt Cornelis, Luc J
Added 22 Aug 2010
Updated 22 Aug 2010
Type Conference
Year 2006
Where DAGM
Authors Bastian Leibe, Nico Cornelis, Kurt Cornelis, Luc J. Van Gool
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