Real-time traffic sign recognition from video by class-specific discriminative features
In this paper we address the problem of traffic sign recognition. Novel image representation and discriminative feature selection algorithms are utilised in a traditional three-stage framework involving detection, tracking and recognition. The detector captures instances of equiangular polygons in t...
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| Vydáno v: | Pattern recognition Ročník 43; číslo 1; s. 416 - 430 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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2010
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| ISSN: | 0031-3203, 1873-5142 |
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| Abstract | In this paper we address the problem of traffic sign recognition. Novel image representation and discriminative feature selection algorithms are utilised in a traditional three-stage framework involving detection, tracking and recognition. The detector captures instances of equiangular polygons in the scene which is first appropriately filtered to extract the relevant colour information and establish the regions of interest. The tracker predicts the position and the scale of the detected sign candidate over time to reduce computation. The classifier compares a discrete-colour image of the observed sign with the model images with respect to the class-specific sets of discriminative local regions. They are learned off-line from the idealised template sign images, in accordance with the principle of one-vs-all dissimilarity maximisation. This dissimilarity is defined based on the so-called
Colour Distance Transform which enables robust discrete-colour image comparisons. It is shown that compared to the well-established feature selection techniques, such as Principal Component Analysis or AdaBoost, our approach offers a more adequate description of signs and involves effortless training. Upon this description we have managed to build an efficient road sign recognition system which, based on a conventional nearest neighbour classifier and a simple temporal integration scheme, demonstrates a competitive performance in the experiments involving real traffic video. |
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| AbstractList | In this paper we address the problem of traffic sign recognition. Novel image representation and discriminative feature selection algorithms are utilised in a traditional three-stage framework involving detection, tracking and recognition. The detector captures instances of equiangular polygons in the scene which is first appropriately filtered to extract the relevant colour information and establish the regions of interest. The tracker predicts the position and the scale of the detected sign candidate over time to reduce computation. The classifier compares a discrete-colour image of the observed sign with the model images with respect to the class-specific sets of discriminative local regions. They are learned off-line from the idealised template sign images, in accordance with the principle of one-vs-all dissimilarity maximisation. This dissimilarity is defined based on the so-called
Colour Distance Transform which enables robust discrete-colour image comparisons. It is shown that compared to the well-established feature selection techniques, such as Principal Component Analysis or AdaBoost, our approach offers a more adequate description of signs and involves effortless training. Upon this description we have managed to build an efficient road sign recognition system which, based on a conventional nearest neighbour classifier and a simple temporal integration scheme, demonstrates a competitive performance in the experiments involving real traffic video. |
| Author | Li, Yongmin Liu, Xiaohui Ruta, Andrzej |
| Author_xml | – sequence: 1 givenname: Andrzej surname: Ruta fullname: Ruta, Andrzej email: Andrzej.Ruta@brunel.ac.uk, mailme@aruta.pl – sequence: 2 givenname: Yongmin surname: Li fullname: Li, Yongmin email: Yongmin.Li@brunel.ac.uk – sequence: 3 givenname: Xiaohui surname: Liu fullname: Liu, Xiaohui email: Xiaohui.Liu@brunel.ac.uk |
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| Cites_doi | 10.1016/S0734-189X(86)80047-0 10.1023/B:VISI.0000029664.99615.94 10.1109/IECON.1996.570749 10.1109/TENCON.1999.818376 10.1109/41.649946 10.1109/ICCIS.2004.1460692 10.1115/1.3662552 10.1109/ICCV.2005.207 10.1109/TVT.2003.810999 10.1016/S0167-8655(00)00078-7 10.1016/0262-8856(95)01057-2 10.1109/IVS.2005.1505111 10.1023/B:VISI.0000013087.49260.fb 10.1109/TITS.2004.828173 10.1109/83.718487 10.1006/rtim.1998.0142 10.1109/ICPR.1998.711175 10.1109/TITS.2006.880627 10.1007/978-3-540-74825-0_32 10.1111/j.2517-6161.1977.tb01600.x 10.1016/j.jvcir.2005.10.003 10.1023/A:1012460413855 10.1109/ITSC.2006.1706843 10.5244/C.21.24 10.1109/ITSC.2000.881017 10.1016/0167-8655(94)90127-9 |
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| Keywords | Forward feature selection Traffic sign recognition Computer vision-based driver assistance Colour Distance Transform Discriminative local regions Performance evaluation Automatic classification Similarity Image processing Learning Polygonal shape Image representation Driver information systems Learning algorithm Nearest neighbour Computer vision Discriminant analysis Target tracking Teletraffic Distance transformation Signal representation Signal classification Color image Statistical method Interest region Image analysis Driver assistance Signal processing Feature extraction Open market Principal component analysis |
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| References | M.A. Garcia-Garrido, M.A. Sotelo, E. Martin-Gorostiza, Fast traffic sign detection and recognition under changing lighting conditions, in: Proceedings of the IEEE International Conference on Intelligent Transportation Systems, 2006, pp. 811–816. Douville (bib14) 2000; 6 J. Miura, T. Kanda, Y. Shirai, An active vision system for real-time traffic sign recognition, in: Proceedings of the IEEE Conference on Intelligent Transportation Systems, Darborn, MI, USA, 2000, pp. 52–57. G. Loy, N. Barnes, D. Shaw, A. Robles-Kelly, Regular polygon detection, in: Proceedings of the 10th IEEE International Conference on Computer Vision, vol. 1, 2005, pp. 778–785. Kalman (bib1) 1960; 82 Y. Aoyagi, T. Asakura, A study on traffic sign recognition in scene image using genetic algorithms and neural networks, in: Proceedings of the 1996 IEEE IECON 22nd International Conference on Industrial Electronics, Control, and Instrumentation, vol. 3, 1996, pp. 1838–1843. de la Escalera, Armingol, Pastor, Rodríguez (bib22) 2004; 5 Viola, Jones (bib21) 2004; 57 Dempster, Laird, Rubin (bib2) 1977; 39 de la Escalera, Moreno, Salichs, Armingol (bib9) 1997; 44 Paclík, Novovicova, Pudil, Somol (bib13) 2000; 21 Fang, Chen, Fuh (bib17) 2003; 52 D. Gavrila, Multi-feature hierarchical template matching using distance transforms, in: Proceedings of the IEEE International Conference on Pattern Recognition, Brisbane, Australia, 1998, pp. 439–444. Pudil, Novovicová, Kittler (bib6) 1994; 15 Akmal Butt, Maragos (bib11) 1998; 7 A. Ruta, Y. Li, X. Liu, Towards real-time traffic sign recognition by class-specific discriminative features, in: Proceedings of the 18th British Machine Vision Conference, Coventry, United Kingdom, vol. 1, 2007, pp. 399–408. Titterington (bib4) 1986 Kadir, Brady (bib16) 2001; 45 Borgefors (bib3) 1986; 34 Lowe (bib19) 2004; 60 L. Zhang, F. Lin, B. Zhang, A CBIR method based on color-spatial feature, in: Proceedings of the IEEE Region 10 Conference TENCON 99, vol. 1, 1999, pp. 166–169. Rubin (bib5) 1988; 3 C. Bahlmann, Y. Zhu, V. Ramesh, M. Pellkofer, T. Koehler, A system for traffic sign detection, tracking and recognition using color, shape, and motion information, in: Proceedings of the IEEE Intelligent Vehicles Symposium, 2005, pp. 255–260. H. Fleyeh, Color detection and segmentation for road and traffic signs, in: Proceedings of the IEEE Conference on Cybernetics and Intelligent Systems, Singapore, vol. 2, 2004, pp. 809–814. Piccioli, De Micheli, Parodi, Campani (bib7) 1996; 14 A. Ruta, Y. Li, X. Liu, Traffic sign recognition using discriminative local features, in: Proceedings of the 7th International Symposium on Intelligent Data Analysis, Ljubljana, Slovenia, 2007, pp. 355–366. [Accessed September 22, 2008]. M. Jones, P. Viola, Face recognition using boosted local features. Technical Report TR2003-25, 2003. B. Mecánico, Road signs arranged by country. [www] Available from Gao, Podladchikova, Shaposhnikov, Hong, Shevtsova (bib25) 2006; 17 Paclík, Novovicová, Duin (bib27) 2006; 7 Piccioli (10.1016/j.patcog.2009.05.018_bib7) 1996; 14 Dempster (10.1016/j.patcog.2009.05.018_bib2) 1977; 39 10.1016/j.patcog.2009.05.018_bib28 Pudil (10.1016/j.patcog.2009.05.018_bib6) 1994; 15 10.1016/j.patcog.2009.05.018_bib29 Rubin (10.1016/j.patcog.2009.05.018_bib5) 1988; 3 Titterington (10.1016/j.patcog.2009.05.018_bib4) 1986 Fang (10.1016/j.patcog.2009.05.018_bib17) 2003; 52 Lowe (10.1016/j.patcog.2009.05.018_bib19) 2004; 60 10.1016/j.patcog.2009.05.018_bib30 10.1016/j.patcog.2009.05.018_bib10 10.1016/j.patcog.2009.05.018_bib12 Akmal Butt (10.1016/j.patcog.2009.05.018_bib11) 1998; 7 10.1016/j.patcog.2009.05.018_bib15 de la Escalera (10.1016/j.patcog.2009.05.018_bib9) 1997; 44 Kadir (10.1016/j.patcog.2009.05.018_bib16) 2001; 45 Kalman (10.1016/j.patcog.2009.05.018_bib1) 1960; 82 Paclík (10.1016/j.patcog.2009.05.018_bib13) 2000; 21 Borgefors (10.1016/j.patcog.2009.05.018_bib3) 1986; 34 de la Escalera (10.1016/j.patcog.2009.05.018_bib22) 2004; 5 10.1016/j.patcog.2009.05.018_bib18 Viola (10.1016/j.patcog.2009.05.018_bib21) 2004; 57 10.1016/j.patcog.2009.05.018_bib20 10.1016/j.patcog.2009.05.018_bib24 Gao (10.1016/j.patcog.2009.05.018_bib25) 2006; 17 10.1016/j.patcog.2009.05.018_bib23 10.1016/j.patcog.2009.05.018_bib8 10.1016/j.patcog.2009.05.018_bib26 Paclík (10.1016/j.patcog.2009.05.018_bib27) 2006; 7 Douville (10.1016/j.patcog.2009.05.018_bib14) 2000; 6 |
| References_xml | – reference: L. Zhang, F. Lin, B. Zhang, A CBIR method based on color-spatial feature, in: Proceedings of the IEEE Region 10 Conference TENCON 99, vol. 1, 1999, pp. 166–169. – volume: 52 start-page: 1329 year: 2003 end-page: 1341 ident: bib17 article-title: Roadsign detection and tracking publication-title: IEEE Transactions on Vehicular Technology – volume: 17 start-page: 675 year: 2006 end-page: 685 ident: bib25 article-title: Recognition of traffic signs based on their colour and shape features extracted using human vision models publication-title: Journal of Visual Communication and Image Representation – volume: 45 start-page: 83 year: 2001 end-page: 105 ident: bib16 article-title: Scale, saliency and image description publication-title: International Journal of Computer Vision – reference: C. Bahlmann, Y. Zhu, V. Ramesh, M. Pellkofer, T. Koehler, A system for traffic sign detection, tracking and recognition using color, shape, and motion information, in: Proceedings of the IEEE Intelligent Vehicles Symposium, 2005, pp. 255–260. – reference: M.A. Garcia-Garrido, M.A. Sotelo, E. Martin-Gorostiza, Fast traffic sign detection and recognition under changing lighting conditions, in: Proceedings of the IEEE International Conference on Intelligent Transportation Systems, 2006, pp. 811–816. – reference: B. Mecánico, Road signs arranged by country. [www] Available from: – reference: A. Ruta, Y. Li, X. Liu, Traffic sign recognition using discriminative local features, in: Proceedings of the 7th International Symposium on Intelligent Data Analysis, Ljubljana, Slovenia, 2007, pp. 355–366. – volume: 60 start-page: 91 year: 2004 end-page: 110 ident: bib19 article-title: Distinctive image features from scale-invariant keypoints publication-title: International Journal of Computer Vision – reference: G. Loy, N. Barnes, D. Shaw, A. Robles-Kelly, Regular polygon detection, in: Proceedings of the 10th IEEE International Conference on Computer Vision, vol. 1, 2005, pp. 778–785. – volume: 7 start-page: 309 year: 2006 end-page: 321 ident: bib27 article-title: Building road-sign classifiers using a trainable similarity measure publication-title: IEEE Transactions on Intelligent Transportation Systems – volume: 7 start-page: 1477 year: 1998 end-page: 1484 ident: bib11 article-title: Optimum design of chamfer distance transforms publication-title: IEEE Transactions on Image Processing – reference: Y. Aoyagi, T. Asakura, A study on traffic sign recognition in scene image using genetic algorithms and neural networks, in: Proceedings of the 1996 IEEE IECON 22nd International Conference on Industrial Electronics, Control, and Instrumentation, vol. 3, 1996, pp. 1838–1843. – volume: 39 start-page: 138 year: 1977 ident: bib2 article-title: Maximum likelihood from incomplete data via the EM algorithm publication-title: Journal of the Royal Statistical Society (B) – year: 1986 ident: bib4 article-title: Statistical Analysis of Finite Mixture Distributions – reference: [Accessed September 22, 2008]. – volume: 82 start-page: 35 year: 1960 end-page: 45 ident: bib1 article-title: A new approach to linear filtering and prediction problems publication-title: Transactions of the ASME Journal of Basic Engineering – volume: 3 start-page: 395 year: 1988 end-page: 402 ident: bib5 article-title: Using the SIR algorithm to simulate posterior distributions publication-title: Bayesian Statistics – volume: 57 start-page: 137 year: 2004 end-page: 154 ident: bib21 article-title: Robust real-time object detection publication-title: International Journal of Computer Vision – reference: D. Gavrila, Multi-feature hierarchical template matching using distance transforms, in: Proceedings of the IEEE International Conference on Pattern Recognition, Brisbane, Australia, 1998, pp. 439–444. – volume: 34 start-page: 344 year: 1986 end-page: 371 ident: bib3 article-title: Distance transformations in digital images publication-title: Computer Vision, Graphics, and Image Processing – volume: 14 start-page: 209 year: 1996 end-page: 223 ident: bib7 article-title: A robust method for road sign detection and recognition publication-title: Image and Vision Computing – volume: 15 start-page: 1119 year: 1994 end-page: 1125 ident: bib6 article-title: Floating search methods in feature selection publication-title: Pattern Recognition Letters – volume: 21 start-page: 1165 year: 2000 end-page: 1173 ident: bib13 article-title: Road signs classification using the Laplace kernel classifier publication-title: Pattern Recognition Letters – reference: H. Fleyeh, Color detection and segmentation for road and traffic signs, in: Proceedings of the IEEE Conference on Cybernetics and Intelligent Systems, Singapore, vol. 2, 2004, pp. 809–814. – reference: A. Ruta, Y. Li, X. Liu, Towards real-time traffic sign recognition by class-specific discriminative features, in: Proceedings of the 18th British Machine Vision Conference, Coventry, United Kingdom, vol. 1, 2007, pp. 399–408. – volume: 6 start-page: 185 year: 2000 end-page: 193 ident: bib14 article-title: Real-time classification of traffic signs publication-title: Real-Time Imaging – volume: 44 start-page: 848 year: 1997 end-page: 859 ident: bib9 article-title: Road traffic sign detection and classification publication-title: IEEE Transactions on Industrial Electronics – reference: M. Jones, P. Viola, Face recognition using boosted local features. Technical Report TR2003-25, 2003. – volume: 5 start-page: 57 year: 2004 end-page: 68 ident: bib22 article-title: Visual sign information extraction and identification by deformable models for intelligent vehicles publication-title: IEEE Transactions on Intelligent Transportation Systems – reference: J. Miura, T. Kanda, Y. Shirai, An active vision system for real-time traffic sign recognition, in: Proceedings of the IEEE Conference on Intelligent Transportation Systems, Darborn, MI, USA, 2000, pp. 52–57. – volume: 34 start-page: 344 issue: 3 year: 1986 ident: 10.1016/j.patcog.2009.05.018_bib3 article-title: Distance transformations in digital images publication-title: Computer Vision, Graphics, and Image Processing doi: 10.1016/S0734-189X(86)80047-0 – volume: 60 start-page: 91 issue: 2 year: 2004 ident: 10.1016/j.patcog.2009.05.018_bib19 article-title: Distinctive image features from scale-invariant keypoints publication-title: International Journal of Computer Vision doi: 10.1023/B:VISI.0000029664.99615.94 – ident: 10.1016/j.patcog.2009.05.018_bib8 doi: 10.1109/IECON.1996.570749 – ident: 10.1016/j.patcog.2009.05.018_bib12 doi: 10.1109/TENCON.1999.818376 – volume: 44 start-page: 848 issue: 6 year: 1997 ident: 10.1016/j.patcog.2009.05.018_bib9 article-title: Road traffic sign detection and classification publication-title: IEEE Transactions on Industrial Electronics doi: 10.1109/41.649946 – ident: 10.1016/j.patcog.2009.05.018_bib20 doi: 10.1109/ICCIS.2004.1460692 – volume: 82 start-page: 35 year: 1960 ident: 10.1016/j.patcog.2009.05.018_bib1 article-title: A new approach to linear filtering and prediction problems publication-title: Transactions of the ASME Journal of Basic Engineering doi: 10.1115/1.3662552 – ident: 10.1016/j.patcog.2009.05.018_bib23 doi: 10.1109/ICCV.2005.207 – volume: 52 start-page: 1329 issue: 5 year: 2003 ident: 10.1016/j.patcog.2009.05.018_bib17 article-title: Roadsign detection and tracking publication-title: IEEE Transactions on Vehicular Technology doi: 10.1109/TVT.2003.810999 – year: 1986 ident: 10.1016/j.patcog.2009.05.018_bib4 – volume: 21 start-page: 1165 issue: 13–14 year: 2000 ident: 10.1016/j.patcog.2009.05.018_bib13 article-title: Road signs classification using the Laplace kernel classifier publication-title: Pattern Recognition Letters doi: 10.1016/S0167-8655(00)00078-7 – volume: 14 start-page: 209 issue: 3 year: 1996 ident: 10.1016/j.patcog.2009.05.018_bib7 article-title: A robust method for road sign detection and recognition publication-title: Image and Vision Computing doi: 10.1016/0262-8856(95)01057-2 – ident: 10.1016/j.patcog.2009.05.018_bib24 doi: 10.1109/IVS.2005.1505111 – volume: 57 start-page: 137 issue: 2 year: 2004 ident: 10.1016/j.patcog.2009.05.018_bib21 article-title: Robust real-time object detection publication-title: International Journal of Computer Vision doi: 10.1023/B:VISI.0000013087.49260.fb – volume: 5 start-page: 57 issue: 2 year: 2004 ident: 10.1016/j.patcog.2009.05.018_bib22 article-title: Visual sign information extraction and identification by deformable models for intelligent vehicles publication-title: IEEE Transactions on Intelligent Transportation Systems doi: 10.1109/TITS.2004.828173 – volume: 7 start-page: 1477 issue: 10 year: 1998 ident: 10.1016/j.patcog.2009.05.018_bib11 article-title: Optimum design of chamfer distance transforms publication-title: IEEE Transactions on Image Processing doi: 10.1109/83.718487 – volume: 6 start-page: 185 issue: 3 year: 2000 ident: 10.1016/j.patcog.2009.05.018_bib14 article-title: Real-time classification of traffic signs publication-title: Real-Time Imaging doi: 10.1006/rtim.1998.0142 – ident: 10.1016/j.patcog.2009.05.018_bib10 doi: 10.1109/ICPR.1998.711175 – volume: 7 start-page: 309 issue: 3 year: 2006 ident: 10.1016/j.patcog.2009.05.018_bib27 article-title: Building road-sign classifiers using a trainable similarity measure publication-title: IEEE Transactions on Intelligent Transportation Systems doi: 10.1109/TITS.2006.880627 – ident: 10.1016/j.patcog.2009.05.018_bib30 – volume: 3 start-page: 395 year: 1988 ident: 10.1016/j.patcog.2009.05.018_bib5 article-title: Using the SIR algorithm to simulate posterior distributions publication-title: Bayesian Statistics – ident: 10.1016/j.patcog.2009.05.018_bib18 – ident: 10.1016/j.patcog.2009.05.018_bib29 doi: 10.1007/978-3-540-74825-0_32 – volume: 39 start-page: 138 issue: 1 year: 1977 ident: 10.1016/j.patcog.2009.05.018_bib2 article-title: Maximum likelihood from incomplete data via the EM algorithm publication-title: Journal of the Royal Statistical Society (B) doi: 10.1111/j.2517-6161.1977.tb01600.x – volume: 17 start-page: 675 issue: 4 year: 2006 ident: 10.1016/j.patcog.2009.05.018_bib25 article-title: Recognition of traffic signs based on their colour and shape features extracted using human vision models publication-title: Journal of Visual Communication and Image Representation doi: 10.1016/j.jvcir.2005.10.003 – volume: 45 start-page: 83 issue: 2 year: 2001 ident: 10.1016/j.patcog.2009.05.018_bib16 article-title: Scale, saliency and image description publication-title: International Journal of Computer Vision doi: 10.1023/A:1012460413855 – ident: 10.1016/j.patcog.2009.05.018_bib26 doi: 10.1109/ITSC.2006.1706843 – ident: 10.1016/j.patcog.2009.05.018_bib28 doi: 10.5244/C.21.24 – ident: 10.1016/j.patcog.2009.05.018_bib15 doi: 10.1109/ITSC.2000.881017 – volume: 15 start-page: 1119 issue: 11 year: 1994 ident: 10.1016/j.patcog.2009.05.018_bib6 article-title: Floating search methods in feature selection publication-title: Pattern Recognition Letters doi: 10.1016/0167-8655(94)90127-9 |
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| SubjectTerms | Applied sciences Artificial intelligence Colour Distance Transform Computer science; control theory; systems Computer vision-based driver assistance Discriminative local regions Exact sciences and technology Forward feature selection Image processing Information, signal and communications theory Miscellaneous Pattern recognition. Digital image processing. Computational geometry Signal and communications theory Signal processing Signal representation. Spectral analysis Signal, noise Telecommunications and information theory Traffic sign recognition |
| Title | Real-time traffic sign recognition from video by class-specific discriminative features |
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