Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pedestrian Detection Using Wavelet Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Hydra: Multiple People Detection and Tracking Using Silhouettes
VS '99 Proceedings of the Second IEEE Workshop on Visual Surveillance
Example Based Learning for View-Based Human Face Detection
Example Based Learning for View-Based Human Face Detection
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In this paper, we present an object detection and classification method for OpenEyes-II. OpenEyes-II is a walking guidance system that helps the visually impaired to respond naturally to various situations that can occur in unrestricted natural outdoor environments during walking and reaching the destination. Object detection and classification is requisite for implementing obstacle and face detection which are major parts of a walking guidance system. It can discriminate pedestrian from obstacles, and extract candidate regions for face detection and recognition. We have used stereo-based segmentation and SVM (Support Vector Machines), which has superior classification performance in binary classification case such like object detection. The experiments on a large number of street scenes demonstrate the effectiveness of the proposed method.