Automatic license plate recognition and vehicle classification based on computer vision technique have been deeply studied and developed. Certain commercial systems have been deployed. This paper aims at making a review of the approaches for license plate recognition and weaknesses of each approach are also pointed out. This paper can be used as an reference while developing alicense plate recognition and vechicle classification system.
Hand gesture recognition has been studied for a long time. However it still is a challenge field. Furthermore, hand gesture recognition as a natural way to control devices in smart-house such as television, light, fan, camera, door often require high accuracy. This paper proposes a simple and effective technique to recognize a pre-defined hand gesture set. The defined dynamic gestures are represented in both hand shape changing during temporal dimension and direction of hand movements. In the proposed technique, we analyze Spatial-Temporal features that includes characteristics of a hand gesture such as cycle pattern, different in length, non-synchronization phase, After that we evaluate the proposed technique in term of recognition rate and computational time.
This paper introduces an optimal tracking controller for robot manipulators with saturation torques. The robot model is presented as a strict-feedback nonlinear system. Firstly, the position tracking control problem is transformed into the optimal tracking control problem. Subsequently, the saturated optimal control law is designed. The optimal control law is determined through the solution of the Hamilton-Jacobi-Bellman (HJB) equation. We use a reinforcement learning algorithm with only one neural network (NN) to approximate the solution of the equation HJB. The technique of experience replay is used to relax a persistent citation condition. By Lyapunov analysis, the tracking and the approximation errors are uniformly ultimately bounded (UUB). Finally, the simulation on a robot manipulator with saturation torques is performed to verify the efficiency of the proposed controller.
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