Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Vision for Mobile Robot Navigation: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Fuzzy-Neural Systems
Computer Vision and Fuzzy-Neural Systems
Digital Image Processing
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
Real-time Human Motion Analysis by Image Skeletonization
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
The application of DBF neural networks for object recognition
Information Sciences—Informatics and Computer Science: An International Journal
Multi-view face identification and pose estimation using B-spline interpolation
Information Sciences—Informatics and Computer Science: An International Journal
Fast learning in networks of locally-tuned processing units
Neural Computation
Stereo- and neural network-based pedestrian detection
IEEE Transactions on Intelligent Transportation Systems
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
An online self-constructing neural fuzzy inference network and its applications
IEEE Transactions on Fuzzy Systems
Computationally efficient wavelet affine invariant functions for shape recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Wavelet descriptor of planar curves: theory and applications
IEEE Transactions on Image Processing
Image change detection algorithms: a systematic survey
IEEE Transactions on Image Processing
Fast and automatic video object segmentation and tracking for content-based applications
IEEE Transactions on Circuits and Systems for Video Technology
Object recognition of one-DOF tools by a back-propagation neural net
IEEE Transactions on Neural Networks
An approach for moving object recognition based on BPR and CI
Information Systems Frontiers
Real time recognition of pedestrian and vehicles from videos
Proceedings of the Second International Conference on Computational Science, Engineering and Information Technology
Shape Features of Overlapping Boundary for Classification of Moving Vehicles
International Journal of Computer Vision and Image Processing
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Moving object recognition by a shape-based neural fuzzy network is proposed in this paper. The moving objects considered in this paper include pedestrians, vehicles, motorcycle, and dogs. Given the shape of the moving object, its contour is calculated by contour following. The distance between the contour center and each contour point is calculated and smoothed. Parts of the feature vector are obtained from discrete Fourier transform coefficients of the smoothed distances. The length-to-width ratio of the object's shape, which is derived from vertical and horizontal projection of the shape of the object, is also used as a feature. Based on the feature vector, the self-constructing neural fuzzy inference network (SONFIN) is used for recognition. To verify the performance of the proposed approach, two experiments were performed. In the first experiment, the shape of an object was extracted manually. In the second experiment, the shape of an object was extracted automatically from a series of image processes, including gray-based and edge-based image subtractions and morphological operations. The experiments show that the proposed approach can recognize moving objects with high accuracy. SONFIN performance is also shown to be better than back-propagation neural network and radial basis function network performance.