作者:
宋红石峰Department of Computer Science and Engineering
Beijing Institute of Technology Beijing 100081 China Department of Computer Science and Engineering
Beijing Institute of Technology Beijing 100081 Chinaecurity access control systems and automatic video surveillance systems are becoming increasingly important recently and detecting human faces is one of the indispensable processes. In this paper an approach is presented to detect faces in video surveillance. Firstly both the skin-color and motion components are applied to extract skin-like regions. The skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference algorithm. Secondly the image is clustered into separated face candidates by using the region growing technique. Finally the face candidates are further verified by the rule-based algorithm. Experiment results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.
Security access controlsystems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable *** this paper,an approach is presented to de...
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Security access controlsystems and automatic video surveillance systems are becoming increasingly important recently,and detecting human faces is one of the indispensable *** this paper,an approach is presented to detect faces in video ***,both the skin-color and motion components are applied to extract skin-like *** skin-color segmentation algorithm is based on the BPNN (back-error-propagation neural network) and the motion component is obtained with frame difference ***,the image is clustered into separated face candidates by using the region growing ***,the face candidates are further verified by the rule-based *** results demonstrate that both the accuracy and processing speed are very promising and the approach can be applied for the practical use.
In this paper we give new results on the analysis and control of differential linear repetitive processes, which are a distinct class of 2D linear systems of both systems theoretic and applications interest. The new r...
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In this paper we give new results on the analysis and control of differential linear repetitive processes, which are a distinct class of 2D linear systems of both systems theoretic and applications interest. The new results relate to stability and control in the presence of uncertainty in the process state space model. The family of control laws used has a well defined physical basis in terms of the underlying process dynamics.
In this paper, the intelligent space (iSpace) concept is applied for helping disabled or blind persons in crowded environments such as train stations, or airports. The main contribution of this paper is a general math...
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In this paper, the intelligent space (iSpace) concept is applied for helping disabled or blind persons in crowded environments such as train stations, or airports. The main contribution of this paper is a general mathematical (fuzzy-neuro) description of obstacles avoidance method (walking habit) of moving objects (human beings) in a limited area scanned by the intelligent space. A mobile robot with extended functions is introduced as a mobile assistant robot, which is assisted by the iSpace. The mobile assistant robot (MAR) can guide and protect a blind person in a crowded environment with the help of the iSpace. The iSpace learns the obstacle avoidance method (walking habit) of dynamic objects (human beings) by tracing their movements. The learned walking habit is encoded in a mathematical structure and is sent to the control of MAR. control of MAR estimates the path of dynamical obstacles and helps to the blind person to avoid the collision. The prototype of the mobile assistant robot and simulations of some basic types of obstacle avoidance method (walking habit) are presented.
Differential linear repetitive processes are a class of continuous-discrete 2D systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is t...
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Differential linear repetitive processes are a class of continuous-discrete 2D systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is the fact that information propagation in one of the two independent directions only occurs over a finite interval. In this paper we develop an operator theory approach for the study of basic systems theoretic structural and control properties of these processes. In particular, we first develop a characterization of the range space of an operator generated by dynamics of the processes under consideration and use it to characterize a controllability property. Also we extend this operator setting to produce new results for a (again physically relevant) linear-quadratic optimization problem for these processes and the resulting optimal feedback control law.
We now apply the model predictive control (MPC) of speed limits that we have presented in previous publications to a calibrated METANET model of a 19 km stretch of the real-world freeway A1 in The Netherlands. This fr...
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Differential linear repetitive processes are a class of continuous-discrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such syste...
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Differential linear repetitive processes are a class of continuous-discrete 2D linear systems of both systems theoretic and applications interest. The feature which makes them distinct from other classes of such systems is that information propagation in one of the two independent directions only occurs over a finite interval. Applications areas include iterative learning control and iterative solution algorithms for classes of dynamic nonlinear optimal control problems based on the maximum principle. In this paper, we investigate further the structural links between differential linear repetitive processes and a special class of time delay systems. This leads to some significant new controllability and optimal control results for these processes.
A panel discussion with the title Whitherto Robust control was held during the IEEE Conference on Decision and control in Honolulu, HI, in December 1990. Organizers and Chairs were B.R. Barmish and P.P. Khargonekar, w...
A panel discussion with the title Whitherto Robust control was held during the IEEE Conference on Decision and control in Honolulu, HI, in December 1990. Organizers and Chairs were B.R. Barmish and P.P. Khargonekar, while the panelists were D.S. Bernstein, S.P. Bhattacharyya, S.P. Boyd, J.C. Doyle, I.M. Horowitz and R.E. Skelton. Today, the goals of researchers working on robust control are probably quite different than thirteen years ago. This seems true both in the progress of novel theoretic paradigms as well as in the developments of new tools required by emerging applications. This panel discussion addresses classical issues and outlines future directions within robust control. We hope that it will contribute to its growth in the years to come. The panelists’ viewpoint are presented in the next pages.
We now apply the model predictive control (MPC) of speed limits that we have presented in previous publications to a calibrated METANET model of a 19 km stretch of the real-world freeway A1 in The Netherlands. This fr...
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We now apply the model predictive control (MPC) of speed limits that we have presented in previous publications to a calibrated METANET model of a 19 km stretch of the real-world freeway A1 in The Netherlands. This freeway regularly suffers from shock waves originating mainly from on-ramps, and speed limits are now used to suppress these shock waves. First, we calibrate and validate the extended METANET model with data from the A1 freeway, and we use the Delft OD method to estimate the origin-destination patterns that are needed for the simulation of the destination oriented traffic. Next, we verify from data whether the necessary conditions for applying speed limits against shock waves are satisfied. We show that the MPC controller performs well even under the assumption that the traffic demand is not known on the on-ramps and is known for only a few kilometers upstream and downstream of the controlled stretch. This approach results in an improvement of the total time spent in the network with about 15%.
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