Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Neural fuzzy systems: a neuro-fuzzy synergism to intelligent systems
Multi-object tracking in video
Real-Time Imaging - Special issue on real-time digital video over multimedia
Tracking a near-field moving target using fuzzy neural networks
Fuzzy Sets and Systems
Algorithmic issues in modeling motion
ACM Computing Surveys (CSUR)
Neural network approaches to dynamic collision-free trajectorygeneration
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Tracking a maneuvering target using neural fuzzy network
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Global optimal fuzzy tracker design based on local concept approach
IEEE Transactions on Fuzzy Systems
Neural network real time video processor for early aircraft detection
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
A fuzzy prediction based trajectory estimation
WSEAS TRANSACTIONS on SYSTEMS
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A target tracking algorithm able to identify the position and to pursuit moving targets in video digital sequences is proposed in this paper. The proposed approach aims to track moving targets inside the vision field of a digital camera. The position and trajectory of the target are identified by using a neural network presenting competitive learning technique. The winning neuron is trained to approximate to the target and, then, pursuit it. A digital camera provides a sequence of images and the algorithm process those frames in real time tracking the moving target. The algorithm is performed both with black and white and multi-colored images to simulate real world situations. Results show the effectiveness of the proposed algorithm, since the neurons tracked the moving targets even if there is no pre-processing image analysis. Single and multiple moving targets are followed in real time.