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Deep Boltzmann Machines based Vehicle Recognition

Deep Boltzmann Machines based Vehicle Recognition

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第26届中国控制与决策会议

作者： Aiqin HU Hong LI Fan ZHANG Wei ZHANG School of Information Science and Engineering Central South University School Of Architecture Hunan University

We address the problem of image-based vehicle *** problem is formulated as a manifold-feature learning algorithm such that the expected object distribution is evaluated based on the appearance,shape and contours that take into account variational poses and *** propose to learn manifold hierarchical features where the high-level discriminative features are obtained by capturing correlations among the learned low-level generic features,via a deep learning model,called Deep Boltzmann Machines（DBM）,a powerful hierarchical generative model for feature *** has been proved to be able to explore underlying manifold knowledge of given objects by appropriately describing highly nonlinear complicated functions with novel training ***,we also present a novel application of deep learning to feature representations,rather than provide the model input with raw image pixels,we instead utilize the human-engineered descriptors such as Log-Gabor,HoG and Gist,as the source data of deep learning ***,we evaluate our deep model on PASCAL voc2012 benchmark dataset,extensive experiments show that our DBM-based model enables to learn useful hierarchical feature representations from few training ***,by feeding the DBM-based deep network with prior-described features such as Log-Gabor,HoG and Gist,we get a significant improvement on performance in comparison with the state-of-art results and the best performance is achieved by using a fusion form of the three descriptors as source material for learning deep ***,experiments with prior-extracted features as input layer demonstrate that the deep learning networks have provided a perspective of potential ability to learn critical representation of given data,and have presented favorable vehicle recognition performance.

关键词： Vehicle Recognition Deep Boltzmann Machines Feature Learning voc 2012 dataset

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