3D Objects Localization Using Fuzzy Approach and Hierarchical Belief Propagation: Application at Level Crossings

Technological solutions for obstacle-detection systems have been proposed to prevent accidents in safety-transport applications. In order to avoid the limits of these proposed technologies, an obstacle-detection system utilizing stereo cameras is proposed to detect and localize multiple objects at level crossings. Background subtraction is first performed using the color independent component analysis technique, which has proved its performance against other well-known object-detection methods. The main contribution is the development of a robust stereo-matching algorithm which reliably localizes in 3D each segmented object. A standard stereo dataset and real-world images are used to test and evaluate the performances of the proposed algorithm to prove the efficiency and the robustness of the proposed video-surveillance system.

[1]  Hoang Trinh.  Efficient Stereo Algorithm using Multiscale Belief Propagation on Segmented Images , 2008, BMVC.

[2]  Runsheng Wang,et al.  Stereo matching based on color and disparity segmentation by belief propagation , 2007 .

[3]  Sergios Theodoridis,et al.  A Novel Efficient Cluster-Based MLSE Equalizer for Satellite Communication Channels with-QAM Signaling , 2006, EURASIP J. Adv. Signal Process..

[4]  Du-Ming Tsai,et al.  Independent Component Analysis-Based Background Subtraction for Indoor Surveillance , 2009, IEEE Transactions on Image Processing.

[5]  Christian Jutten,et al.  Space or time adaptive signal processing by neural network models , 1987 .

[6]  Daniel P. Huttenlocher,et al.  Efficient Belief Propagation for Early Vision , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[7]  Xiao-Ping Zhang,et al.  An Automated Video Object Extraction System Based on Spatiotemporal Independent Component Analysis and Multiscale Segmentation , 2006, EURASIP J. Adv. Signal Process..

[8]  D. Nistér,et al.  Stereo Matching with Color-Weighted Correlation, Hierarchical Belief Propagation, and Occlusion Handling , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Aaas News,et al.  Book Reviews , 1893, Buffalo Medical and Surgical Journal.

[10]  Katsushi Ikeuchi,et al.  Interactive Shadow Removal from a Single Image Using Hierarchical Graph Cut , 2009, ACCV.

[11]  Alain Dufaux,et al.  A New Selective Confidence Measure-Based Approach for Stereo Matching , 2009, KES.

[12]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Masaru Ohta.  Level Crossings Obstacle Detection System Using Stereo Cameras , 2005 .

[14]  Aapo Hyvärinen,et al.  Fast and robust fixed-point algorithms for independent component analysis , 1999, IEEE Trans. Neural Networks.

[15]  Michael Isard,et al.  Dense Motion and Disparity Estimation Via Loopy Belief Propagation , 2006, ACCV.

[16]  Miao Liao,et al.  Real-time Global Stereo Matching Using Hierarchical Belief Propagation , 2006, BMVC.

[17]  Zhenjiang Miao,et al.  Fast Background Subtraction Using Improved GMM and Graph Cut , 2008, 2008 Congress on Image and Signal Processing.

[18]  Narendra Ahuja,et al.  A constant-space belief propagation algorithm for stereo matching , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[19]  Olga Veksler,et al.  Fast approximate energy minimization via graph cuts , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[20]  Larry S. Davis,et al.  Real-time foreground-background segmentation using codebook model , 2005, Real Time Imaging.

[21]  Serge Miguet,et al.  Real Time Foreground-Background Segmentation Using a Modified Codebook Model , 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.

[22]  Gian Luca Foresti.  A real-time system for video surveillance of unattended outdoor environments , 1998, IEEE Trans. Circuits Syst. Video Technol..

[23]  S. El-Etriby,et al.  Dense Stereo Correspondence with Slanted Surface using Phase-based Algorithm , 2007, 2007 IEEE International Symposium on Industrial Electronics.