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161.
162.
针对人脸在跟踪过程中可能存在大幅度的倾斜、旋转、遮挡以及肤色干扰等问题,提出一种基于在线修正的人脸跟踪算法.该算法当人脸检测失效时,人脸跟踪模块将用于提取目标参数;而在人脸跟踪过程中,为减小由连续跟踪造成的累积误差,利用人脸实时检测机制新检测到的人脸目标参数来修正跟踪模块的参数,包括跟踪窗口的位置和尺度,从而利用了人脸检测和人脸跟踪各自的优点.通过实验,其结果表明,该算法能够精确地跟踪复杂姿态下的人脸目标,并且能够解决肤色干扰和遮挡的问题,具有很好的适应性和鲁棒性.另外,将在线修正的跟踪方法应用于娱乐游戏控制,为人机交互提供了新的方式. 相似文献
163.
基于自适应模糊反步法的永磁同步电机位置跟踪控制 总被引:3,自引:0,他引:3
研究具有参数不确定性的永磁同步屯动机位置跟踪控制问题.利用模糊逻辑系统逼近系统中非线性函数,采用反步设计方法实现永磁同步电动机的自适应模糊控制.所提出的自适应模糊控制器在电机参数不确定和负载扰动的情况下,实现了永磁同步电动机的高性能位置跟踪控制.仿真结果表明了所提出方法的有效性. 相似文献
164.
165.
This paper introduces the use of a visual attention model to improve the accuracy of gaze tracking systems. Visual attention models simulate the selective attention part of the human visual system. For instance, in a bottom‐up approach, a saliency map is defined for the image and gives an attention weight to every pixel of the image as a function of its colour, edge or intensity. Our algorithm uses an uncertainty window, defined by the gaze tracker accuracy, and located around the gaze point given by the tracker. Then, using a visual attention model, it searches for the most salient points, or objects, located inside this uncertainty window, and determines a novel, and hopefully, better gaze point. This combination of a gaze tracker together with a visual attention model is considered as the main contribution of the paper. We demonstrate the promising results of our method by presenting two experiments conducted in two different contexts: (1) a free exploration of a visually rich 3D virtual environment without a specific task, and (2) a video game based on gaze tracking involving a selection task. Our approach can be used to improve real‐time gaze tracking systems in many interactive 3D applications such as video games or virtual reality applications. The use of a visual attention model can be adapted to any gaze tracker and the visual attention model can also be adapted to the application in which it is used. 相似文献
166.
Shin-Chih Tu Guey-Yun Chang Jang-Ping Sheu Wei Li Kun-Ying Hsieh 《Journal of Parallel and Distributed Computing》2010
With the advancement of MEMS technologies, sensor networks have opened up broad application prospects. An important issue in wireless sensor networks is object detection and tracking, which typically involves two basic components, collaborative data processing and object location reporting. The former aims to have sensors collaborating in determining a concise digest of object location information, while the latter aims to transport a concise digest to sink in a timely manner. This issue has been intensively studied in individual objects, such as intruders. However, the characteristic of continuous objects has posed new challenges to this issue. Continuous objects can diffuse, increase in size, or split into multiple continuous objects, such as a noxious gas. In this paper, a scalable, topology-control-based approach for continuous object detection and tracking is proposed. Extensive simulations are conducted, which show a significant improvement over existing solutions. 相似文献
167.
针对高速运动伺服控制系统的精确位宣跟踪控制问题,在A型迭代学习控制算法的基础上,提出了一种基于比例一预期迭代学习控制的位置控制策略,并将其应用于建立的交流永磁同步电机模型,最后利用Matlab进行仿真研究。结果表明,此控制策略仅需少量对象信息就能满足系统的性能要求。它与常见迭代学习控制算法相比,具有位置控制精度高、学习收敛速度快等优点。 相似文献
168.
This paper investigates robust observer‐controller compensator design using Vidyasagar's structure (VS). VS has a unit matrix parameter H similar to the Q parameter for the Youla–Kucera parameterization. VS can be designed based on the left coprimeness of the central controller in the H∞‐loop shaping design procedure (H∞‐LSDP) and therefore can preserve the intrinsic properties of the H∞‐LSDP. This paper introduces algebraic methods to simplify the design of H in the VS controller by solving specific algebraic equations. In particular, the algebraic design of H can achieve two things. First, a dynamic H adjusts the tracking performance and yields the integral action. Second, a dynamic H rejects the input and output sinusoidal disturbances with known frequencies. These attributes are indications of the flexibility of the proposed method since the output‐feedback controller design of the H∞‐LSDP cannot easily deal with such conditions. This paper discusses the achieved loop and the closed‐loop behavior of the system with VS, and also gives two numerical examples. The first example shows that the proposed method results in a better design in many aspects than the resulting from H∞‐LSDP. The second example shows the application of the proposed method to rejecting input and output step disturbances, and input and output multiple sinusoidal disturbances, for which the H∞‐LSDP can hardly be used. Copyright © 2009 John Wiley & Sons, Ltd. 相似文献
169.
针对视觉跟踪系统中数据量大、运算量大和实时性高的特点,选用片内存储器高达24M bits,主频高达600MHz的ADSP-TS201处理器作为运算核心,设计了视频采集与处理专用硬件平台,同时配以现场可编程门阵列FPGA实现逻辑控制,选用便于机载和舰载的CPCI总线完成本系统与上位机的数据传输;指出了设计中需要注意的问题,并讨论了其中一些关键部分的具体实现;经过实际测试验证,本硬件平台设计正确合理,运算能力强大,达到了设计要求。 相似文献
170.
Energy-efficient adaptive sensor scheduling for target tracking in wireless sensor networks 总被引:1,自引:1,他引:0
Sensor scheduling is essential to collaborative target tracking in wireless sensor networks (WSNs). In the
existing works for target tracking in WSNs, such as the information-driven sensor query (IDSQ), the tasking sensors are
scheduled to maximize the information gain while minimizing the resource cost based on the uniform sampling intervals,
ignoring the changing of the target dynamics and the specific desirable tracking goals. This paper proposes a novel energyefficient
adaptive sensor scheduling approach that jointly selects tasking sensors and determines their associated sampling
intervals according to the predicted tracking accuracy and tracking energy cost. At each time step, the sensors are scheduled
in alternative tracking mode, namely, the fast tracking mode with smallest sampling interval or the tracking maintenance
mode with larger sampling interval, according to a specified tracking error threshold. The approach employs an extended
Kalman filter (EKF)-based estimation technique to predict the tracking accuracy and adopts an energy consumption model
to predict the energy cost. Simulation results demonstrate that, compared to a non-adaptive sensor scheduling approach, the
proposed approach can save energy cost significantly without degrading the tracking accuracy. 相似文献