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Most of the methods for video summarization relay on complicated clustering algorithms that makes them too computationaly complex for real time applications. In this paper we propose an efficient approach for video summary generation that does not relay on complex clustering algorithms and does not require frame length as a parameter. Our method combines(More)
—It is well known that fuzzy logic can be used in the control of complex systems described by highly nonlinear mathematical models. However, the main difficulty in the design of a fuzzy controller comes with the adjustment of the controller's parameters that are usually determined by human experts' knowledge or trial and error methods. In this paper, we(More)
A new control method is presented in this paper. The control employs a variant of fuzzy sliding mode, optimized by a genetic algorithm. Proposed controller has many advantages, such as satisfactory control performance under a wide range of operating conditions and parameter variations, a faster response than conventional controllers, suppressed chattering(More)
A new intelligent hybrid structure used for online tuning of a PID controller is proposed in this paper. The structure is based on two adaptive neural networks, both with built-in Chebyshev orthogonal polynomials. First substructure network is a regular orthogonal neural network with implemented artificial endocrine factor (OENN), in the form of(More)
A combination of two control methods, sliding mode and fuzzy, for the wheel slip control in anti-lock braking system, is presented in this paper. The fuzzy block is used to determine the values of key parameters important for establishing switching function dynamics. It is demonstrated, via performed experiments, that proposed control algorithm gives good(More)