Object tracking algorithm using modified Particle filter in low frame rate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the low frame rate ***,P...
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Object tracking algorithm using modified Particle filter in low frame rate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the low frame rate ***,Particle filtering use motion transitions to model the movement of the ***,in object tracking with low frame rate sequences,it is very difficult to model significant random jumps of *** key notion of our solution is that using the object detection and extraction to locate the tracked object,while not using the dynamical *** propagate the sample set around the detected regions,which the samples are assumed to be uniformly distributed in the neighborhoods of the detected *** is similar to the general particle filter to propagate *** we compute the likelihood between the target model and the candidate regions,which are based on color histogram *** extensive experiments show that the proposed algorithm performs robustly in a large variety of tracking scenarios.
A networked mobile robot in large networks such as Internet often operates under supervisory control and the discrete commands and decisions from the remote operators normally depend on the feedback scene information....
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A networked mobile robot in large networks such as Internet often operates under supervisory control and the discrete commands and decisions from the remote operators normally depend on the feedback scene information. Therefore it must be tolerate of the significant and unpredicted time latency that might mislead the robot for time and scene-dependent operations. A series of strategies are presented in this paper to decrease the latency impact and implement scene specified control of a Internet-based mobile robot. Time stamps are attached to each communication packet of scene video, audio and environment information from the robot to remote operator's computer for display, which then sends back control decision or command of the right time stamps with the scene when needed. By allocating a memory buffer for current display and recent status even including video frames the robot recalls the environment with the event time stamps as searching index, which helps to estimate the exact robot position or operation. Reverse position and motion are conducted according to estimation from the memorized information. The strategies have been introduced to improve a practical networked mobile robot control platform with experiment validity given in detail.
In this paper, a finite-time controller for bank-to-turn (BTT,) missiles isdesigned based on nonsingular terminal sliding mode (NTSM,) technique. Theproposed controller allows that roll rate and angle of attack can tr...
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This paper is devoted to robust adaptive sliding mode control for a class of nonlinear systems in the Takagi-Sugeno forms with mismatched parametric uncertainties. Sufficient conditions for the existence of linear sli...
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In this paper, the problem of the stability for a class of stochastic systems with time-varying delay is investigated. By dividing the delay interval into multiple segments and choosing different weighting matrices in...
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In this paper, the problem of the stability for a class of stochastic systems with time-varying delay is investigated. By dividing the delay interval into multiple segments and choosing different weighting matrices in the new LyapunovKrasovskii functional, the delay-dependent sufficient criterion is derived in terms of linear matrix inequalities(LMIs). Neither model transformations nor bounding techniques for cross terms is employed, so the derived criterion is less conservative than the most existing results. Meanwhile, the computational complexity of the obtained stability conditions is reduced because less variables are involved. A numerical example is given to show the application of the proposed method.
Home automation systems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the loc...
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ISBN:
(纸本)9781617825583
Home automation systems based on wireless sensor/actuator networks are characterized by diversity of node power sources, limited computational power, and mobility. We propose a routing protocol that fully uses the location of static nodes to limit the search for a route to a small zone based on the analysis of characteristics and requirements. The calculation of two different kinds of zone and the route discovery procedure are described in this paper. According to the environment of home automation, we compared the performance of our routing protocols with the ad-hoc on-demand distance-vector protocol using simulation and gave suggestions for zone selection. Simulation results showed that our routing protocol dramatically reduced the routing overhead and increased the reliability.
This paper proposes an adaptive observer for discrete MIMO systems with unknown dynamics and *** case that the system output equation has time-delay and nonlinearities is also *** delayed states in the system are with...
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This paper proposes an adaptive observer for discrete MIMO systems with unknown dynamics and *** case that the system output equation has time-delay and nonlinearities is also *** delayed states in the system are with a nonlinear form and only the estimated delay is *** using a high-order neural network(HONN),the precise system model,and the Lipschitz or norm-boundedness assumption of unknown nonlinearities are not required.A novel converse Lyapunov Lemma is also developed to prove the uniform ultimate boundedness(UUB) of the proposed *** of the presented scheme is verified by simulation.
To solve the weapon network system optimization problem against small raid objects with low attitude,the concept of direction probability and a new evaluation index system are *** calculating the whole damaging probab...
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To solve the weapon network system optimization problem against small raid objects with low attitude,the concept of direction probability and a new evaluation index system are *** calculating the whole damaging probability that changes with the defending angle,the efficiency of the whole weapon network system can be subtly *** such method,we can avoid the inconformity of the description obtained from the traditional index *** new indexes are also proposed,*** index,overlap index and cover index,which help manage the relationship among several *** normalizing the computation results with the Sigmoid function,the matching problem between the optimization algorithm and indexes is well ***,the algorithm of improved marriage in honey bees optimization that proposed in our previous work is applied to optimize the embattlement *** is carried out to show the efficiency of the proposed indexes and the optimization algorithm.
In most batch processes, quality controlmeasurements cannot be completed before the next batch operation. Thus, the corrective step is often delayed by one batch or more. The uncertain duration of delay with stochast...
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ISBN:
(纸本)9781424454402
In most batch processes, quality controlmeasurements cannot be completed before the next batch operation. Thus, the corrective step is often delayed by one batch or more. The uncertain duration of delay with stochastic characteristics can be treated as a random variable of unknown distribution. Coupled with inaccurate process models, the delay may lead to significant process output variations even with EWMA controllers. This paper proposes a new method of handling the uncertain metrology delay and its ensuing complications. The run-to-run controller is designed based on minimization of error entropy, and the probability density function of the tracking error can be estimated by the historical operation data. The simulation example demonstrates the effectiveness of the proposed method.
A new simultaneous localization and mapping approach based on mixed map model using laser data and odometry information is presented in this paper. Mixed model composed of occupancy grids and line maps is utilized to ...
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A new simultaneous localization and mapping approach based on mixed map model using laser data and odometry information is presented in this paper. Mixed model composed of occupancy grids and line maps is utilized to represent environment maps. At the same time Hough transform is introduced to extract line features. Then robot localization and map building task is accomplished using line features matching and extended Kalman filter. Experimental results indicate the feasibility and validity of this approach.
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