Abstract
We propose a fast disparity estimation algorithm using background registration and object segmentation for stereo sequences from fixed cameras. Dense background disparity information is calculated in an initialization step so that only disparities of moving object regions are updated in the main process. We propose a real-time segmentation technique using background subtraction and inter-frame differences, and a hierarchical disparity estimation using a region-dividing technique and shape-adaptive matching windows. Experimental results show that the proposed algorithm provides accurate disparity vector fields with an average processing speed of 15 frames/sec for 320x240 stereo sequences on a common PC.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Scharstein, D., Szeliski, R.: A Taxonomy and Evaluation of Dense Two-frame Stereo Correspondence Algorithms. IJCV 47, 7–42 (2002)
Schreer, O., Brandenburg, N., Kauff, P.: Real-time Disparity Analysis for Applications in Immersive Teleconference Scenarios - a Comparative Study. In: Proc. ICIAP, pp. 346–351 (2001)
Forstmann, S., Ohya, J., Kanou, Y., Schmitt, A., Thuering, S.: Real-time Stereo by Using Dynamic Programming. In: Proc. CVPR, p. 29 (2004)
Muhlmann, K., Maier, D., Hesser, J., Manner, R.: Calculating Dense Disparity Maps from Color Stereo Images, an Efficient Implementation. IJCV 47, 79–88 (2002)
Kim, H., Choe, Y., Sohn, K.: Disparity Estimation Using Region-dividing Technique with Energy-based Regularization. Optical Engineering 43(8), 1882–1890 (2004)
Kim, H., Kitahara, I., Kogure, K., Hagita, N., Sohn, K.: Sat-Cam: Personal Satellite Virtual Camera. Proc. PCM 3, 87–94 (2004)
Kumar, P., Sengupta, K., Ranganath, S.: Real Time Detection and Recognition of Human Profiles using Inexpensive Desktop Cameras. Proc. ICPR 1, 1096–1099 (2000)
Zitnick, L., Kanade, T.: A Cooperative Algorithm for Stereo Matching and Occlusion Detection. IEEE Trans. PAMI 22(7), 675–684 (2000)
Hirschmuller, H.: Improvements in Real-time Correlation-based Stereo Vision. In: Proc. CVPR Stereo Workshop, pp. 141–148 (2001)
Sun, C.: Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-surface Techniques. IJCV 42(1), 7–42 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, H., Min, D.B., Sohn, K. (2005). Real-Time Stereo Using Foreground Segmentation and Hierarchical Disparity Estimation. In: Ho, YS., Kim, H.J. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581772_34
Download citation
DOI: https://doi.org/10.1007/11581772_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30027-4
Online ISBN: 978-3-540-32130-9
eBook Packages: Computer ScienceComputer Science (R0)