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Volume 31 Issue 11
Dec.  2010
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Sun Xian, Wang Hong-qi, Yang Zhi-feng. Automatic Multi-categorical Objects Recognition Using Shape Statistical Models[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2626-2631. doi: 10.3724/SP.J.1146.2008.01422
Citation: Sun Xian, Wang Hong-qi, Yang Zhi-feng. Automatic Multi-categorical Objects Recognition Using Shape Statistical Models[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2626-2631. doi: 10.3724/SP.J.1146.2008.01422

Automatic Multi-categorical Objects Recognition Using Shape Statistical Models

doi: 10.3724/SP.J.1146.2008.01422
  • Received Date: 2008-11-03
  • Rev Recd Date: 2009-06-25
  • Publish Date: 2009-11-19
  • Contour features are powerful cues for human vision system to analyze and identify objects. A new method for automatic multi-categorical objects recognition using shape statistical models is proposed to improve the disadvantages existing in most of the relative methods. This method defines firstly the shape base pairs as feature descriptors, and extracts typical shape base pairs from sample images to build a feature codebook. Then, unsupervised learning is performed to calculate the feature distribution and design class-specific shape models. After detecting the regions and determining the categories quickly, segmentation could be applied to obtain the precise outlines. Experimental results demonstrate that proposed method can achieve high efficiency and accuracy in extracting manifold and complicated objects, and resolve the problems of noise disturbance, rotations at a certain extent.
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  • Leibe B, Leonardis A, and Schiele B. Robust object detectionwith interleaved categorization and segmentation [J].International Journal of Computer Vision Special Issue onLearning for Recognition and Recognition for Learning, 2008,77(1): 259-289.[2]Felzenszwalb P F and Schwartz J D. Hierarchical matching ofdeformable shapes [C]. Proceedings of IEEE Conference onComputer Vision and Pattern Recognition, Minnesota, USA,2007: 1-8.[3]Zhang X Q, Guo M M, and Tang Y. A new geometric featureshape descriptor [J]. Computer Engineering and Applications,2007, 43(29): 90-92.[4]Fergus R, Perona P, and Zisserman A. Weakly supervisedscale-invariant learning of models for visual recognition [J].International Journal of Computer Vision.2007, 71(3):273-303[5]Opelt A, Pinz A, and Zisserman A. Incremental learning ofobject detectors using a visual shape alphabet [C].Proceedings of IEEE Conference on Computer Vision andPattern Recognition, New York, USA, 2006: 3-10.[6]Shotton J, Blake A, and Cipolla R. Multi-scale categoricalobject recognition using contour fragments [J].IEEETransactions on Pattern Analysis and Machine Intelligence.2008, 30(7):1270-1281[7]Mahamud S, Williams L R, Thornber K, and Xu K.Segmentation of multiple salient closed contours from realimages [J].IEEE Transactions on Pattern Analysis andMachine Intelligence.2003, 25(4):433-444[8]Kumar S. Models for learning spatial interactions in naturalimages for context-based classification [D]. [Ph.D.dissertation], The Robotics Institute, Carnegie MellonUniversity, 2005.[9]Wu Tao, Ding Xiao-qing, and Wang Sheng-jin. Videotracking using improved chamfer matching and particle filter[C]. Proceedings of IEEE Conference on ComputationalIntelligence and Multimedia Applications, Sivakasi, TamilNadu, 2007: 169-173.Maitre H, Kyrgyzov I, and Campedel M. Kernel mdl todetermine the number of clusters [C]. Proceedings of IEEEConference on Machine Learning and Data Mining in PatternRecognition, Leipzig, Germany, 2007: 203-217.[10]Hofmann T. Unsupervised learning by probabilistic latentsemantic analysis [J].Machine Learning.2001, 42(2):177-196[11]Dempster A, Laird N, and Rubin D. Maximum likelihoodform incomplete data via the EM algorithm [J]. Journal of theRoyal Statistical Scotiety, 1977, 39(1): 1-38.[12]Lempitsky V, Rother C, and Blake A. LogCut-efficient graphcut optimization for markov random fields [C]. Proceedings ofIEEE Conference on Computer Vision, Rio de Janeiro, Brazil,2007: 1-8.
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