A Framework for Evaluating Stereo-Based Pedestrian Detection Techniques

Automated pedestrian detection, counting, and tracking have received significant attention in the computer vision community of late. As such, a variety of techniques have been investigated using both traditional 2-D computer vision techniques and, more recently, 3-D stereo information. However, to date, a quantitative assessment of the performance of stereo-based pedestrian detection has been problematic, mainly due to the lack of standard stereo-based test data and an agreed methodology for carrying out the evaluation. This has forced researchers into making subjective comparisons between competing approaches. In this paper, we propose a framework for the quantitative evaluation of a short-baseline stereo-based pedestrian detection system. We provide freely available synthetic and real-world test data and recommend a set of evaluation metrics. This allows researchers to benchmark systems, not only with respect to other stereo-based approaches, but also with more traditional 2-D approa...

• Type: Journal
• Year: 2008
• Where: TCSV
• Authors: Philip Kelly, Noel E. O'Connor, Alan F. Smeaton
• Keywords: Pedestrian Detection, Stereo-based Pedestrian Detection, TCSV 2008, Test Data