ICIP 2006, Atlanta, GA
 

Slide Show

Atlanta Conv. & Vis. Bureau

 

Technical Program

Paper Detail

Paper:WP-P1.1
Session:Visual Object/Event Detection, Segmentation, and Classification
Time:Wednesday, October 11, 14:20 - 17:00
Presentation: Poster
Title: USE OF MOTION STATISTICS FOR VANISHING POINT ESTIMATION IN CAMERA-MIRROR SCENES
Authors: László Havasi; Peter Pazmany Catholic University 
 Tamás Szirányi; Hungarian Academy of Sciences 
Abstract: In this paper we address the problem of estimating the position of the vanishing point in an outdoor camera-mirror environment, making use of motion statistics derived from a video sequence. Knowledge of the vanishing-point position is the key for the geometrical modeling of reflective surfaces or cast shadows; this allows the (future) integration of the model into foreground-extraction methods to achieve better performance. Thanks to the use of co-motion statistics in the correspondence-detection step, our approach gives robust results. The presented optimization method for final parameter estimation utilizes motion statistics to determine an improved fitting function in case of wide-baseline views and in cases where the correspondences are corrupted with considerable amounts of noise. Results are presented for several video sequences representing a variety of scene layouts and object types. The outcomes show that our approach gives robust results in the context of widely different environments.