A multi-resolution approach for infrared vision-based pedestrian detection
- 8 November 2004
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
This paper presents the improvements of a system for pedestrian detection in infrared images. The system is based on a multi-resolution localization of warm symmetrical objects with specific size and aspect ratio; the multi-resolution approach allows to detect both close and far pedestrians. A match against a set of 3D models encoding human shape's morphological and thermal characteristics is used as a validation process to remove false positives. No temporal correlation, nor motion cues are used for the processing that is based on the analysis of single frames only.Keywords
This publication has 7 references indexed in Scilit:
- Shape-based pedestrian detection and localizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Modelling pedestrian shapes for outlier detection: a neural net based approachPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Pedestrian detection in infrared imagesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- IR Pedestrian Detection for Advanced Driver Assistance SystemsLecture Notes in Computer Science, 2003
- Walking pedestrian recognitionIEEE Transactions on Intelligent Transportation Systems, 2000
- Stereo- and neural network-based pedestrian detectionIEEE Transactions on Intelligent Transportation Systems, 2000
- Robust real-time periodic motion detection, analysis, and applicationsIeee Transactions On Pattern Analysis and Machine Intelligence, 2000