Learning-based vehicle detection using up-scaling schemes and predictive frame pipeline structures
Journal
International Conference on Pattern Recognition
Pages
3101-3104
Date Issued
2010
Author(s)
Abstract
This paper aims at detecting preceding vehicles in a variety of distance. A sub-region up-scaling scheme significantly raises far distance detection capability. Three frame pipeline structures involving object predictors are explored to further enhance accuracy and efficiency. It claims a 140-meter detecting distance along proposed methodology. 97.1% detection rate with 4.2% false alarm rate is achieved. At last, the benchmark of several learning-based vehicle detection approaches is provided.
Type
conference paper