NEURAL CLASSIFIER FOR OBJECT CLASSIFICATION WITH CLUTTERED BACKGROUND USING STATISTICAL CENTRAL MOMENT BASED FEATURES
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[1] Harpreet S. Sawhney,et al. Vehicle identification between non-overlapping cameras without direct feature matching , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[2] Jun-Wei Hsieh,et al. Automatic traffic surveillance system for vehicle tracking and classification , 2006, IEEE Transactions on Intelligent Transportation Systems.
[3] Dong Xu,et al. Geometric moment invariants , 2008, Pattern Recognit..
[4] P. Balasubramanie,et al. Wavelet Feature Based Neural Classifier System for Object Classification with Complex Background , 2007, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007).
[5] Qi Tian,et al. Statistical modeling of complex backgrounds for foreground object detection , 2004, IEEE Transactions on Image Processing.
[6] P. Balasubramanie,et al. Object Classification in Static Images with Cluttered Background using Statistical Feature Based Neural Classifier , 2008 .
[7] Alireza Khotanzad,et al. Application of multi-layer perceptron neural networks to vision problems , 1998, Neural Computing & Applications.
[8] Badrinath Roysam,et al. Image change detection algorithms: a systematic survey , 2005, IEEE Transactions on Image Processing.
[9] Dan Roth,et al. Learning to detect objects in images via a sparse, part-based representation , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Zehang Sun,et al. Monocular precrash vehicle detection: features and classifiers , 2006, IEEE Transactions on Image Processing.