Multilayer feedforward networks are universal approximators
Neural Networks
Parametric Hidden Markov Models for Gesture Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Optimal Linear Combination of Neural Networks for Improving Classification Performance
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian Computer Vision System for Modeling Human Interactions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Novel region-based modeling for human detection within highly dynamic aquatic environment
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Image analysis and rule-based reasoning for a traffic monitoring system
IEEE Transactions on Intelligent Transportation Systems
A fuzzy rule-based approach to spatio-temporal hand gesturerecognition
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fingerprint and speaker verification decisions fusion using a functional link network
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
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This paper presents a vision system which allows real-time recognition of temporal swimming activities and the detection of drowning incident. Operating with a set of techniques, the developed system focuses on two fundamental issues: i) way to analyze temporal behavior and ii) way to incorporate expert knowledge. To perform the recognition of different behaviors, data fusion and Hidden Markov Model (HMM) techniques are implemented. A polynomial classifier is introduced to deal with noisy foreground descriptors caused by poor resolution and sensory noise. It addresses the nonlinear interactions among different dimensions of foreground descriptors while preserving the linear estimation property. HMM is used to model the state transition process that yields a simple and efficient probabilistic inference engine. This work reports the results of extensive on-site experiments carried out. The results demonstrate reasonably good performance yielded, specifically, in terms of false alarm rates and detection of genuine water crises.