Rapid Vehicle Retrieval Using a Cascade of Interest Regions

We propose a method to retrieve the vehicle instance in a massive dataset, that utilizes a cascaded structure to rapidly discard most irrelevant instances. The structure gradually locates the discriminative parts of a vehicle. Rather than focusing on complex and complicated features, we employ a set of prime locating and matching methods successively. During the process, texture features are utilized for localizing the windshield and license plate. Afterwards, vehicle color and type matching are conducted in the located regions of interest. To evaluate the proposed algorithm, we build a dataset comprising approximately 1000 pictures, and experiments show that our algorithm works on the dataset.

[1]  Alireza Ahmadyfard,et al.  An edge-based color-aided method for license plate detection , 2009, Image Vis. Comput..

[2]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[3]  Jiaxin Wang,et al.  An efficient method of license plate location , 2005, Pattern Recognit. Lett..

[4]  Chih-Jen Lin,et al.  LIBSVM: A library for support vector machines , 2011, TIST.

[5]  Xin Zhao,et al.  Car re-identification from large scale images using semantic attributes , 2015, 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP).

[6]  Lisa M. Brown.  Example-Based Color Vehicle Retrieval for Surveillance , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

[7]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[8]  Zehang Sun,et al.  On-road vehicle detection: a review , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Leonidas J. Guibas,et al.  The Earth Mover's Distance as a Metric for Image Retrieval , 2000, International Journal of Computer Vision.

[10]  Timothy F. Cootes,et al.  Analysis of Features for Rigid Structure Vehicle Type Recognition , 2004, BMVC.

[11]  David A. McAllester,et al.  Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[12]  Sei-Wang Chen,et al.  Automatic license plate recognition , 2004, IEEE Transactions on Intelligent Transportation Systems.