Pedestrian detection for driving assistance systems: single-frame classification and system level performance
- 8 November 2004
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We describe the functional and architectural breakdown of a monocular pedestrian detection system. We describe in detail our approach for single-frame classification based on a novel scheme of breaking down the class variability by repeatedly training a set of relatively simple classifiers on clusters of the training set. Single-frame classification performance results and system level performance figures for daytime conditions are presented with a discussion about the remaining gap to meet a daytime normal weather condition production system.Keywords
This publication has 12 references indexed in Scilit:
- Detecting pedestrians using patterns of motion and appearancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Recognizing action at a distancePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Obstacle detection using projective invariant and vanishing linesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Pedestrian detection using wavelet templatesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A robust method for computing vehicle ego-motionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Shape-based pedestrian detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Example-based object detection in images by componentsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2001
- Robust real-time periodic motion detection, analysis, and applicationsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
- Relative affine structure: canonical model for 3D from 2D geometry and applicationsIEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
- Ridge Regression: Biased Estimation for Nonorthogonal ProblemsTechnometrics, 1970