We present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. High-resolution face images are very important to achieving accurate identifi...
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We present a combined real-time face region tracking and highly accurate face recognition technique for an intelligent surveillance system. High-resolution face images are very important to achieving accurate identification of a human face. Conventional surveillance or security systems, however, usually provide poor image quality because they use only fixed cameras to record scenes passively. We have implemented a real-time surveillance system that tracks a moving face using four pan-tilt-zoom (PTZ) cameras. While tracking, the region-of-interest (ROI) can be obtained by using a low-pass filter and background subtraction with the PTZ. Color information in the ROI is updated to extract features for optimal tracking and zooming. FaceIt/sup /spl reg//, which is one of the most popular face recognition software packages, is evaluated and then used to recognize the faces from the video signal. Experimentation with real human faces showed highly acceptable results in the sense of both accuracy and computational efficiency.
A fuzzy decision-making system for multi-criteria robot motion planning and control is described for a constant speed omni-directional mobile robot with active stereo cameras capable of panoramic viewing. The robot ca...
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A fuzzy decision-making system for multi-criteria robot motion planning and control is described for a constant speed omni-directional mobile robot with active stereo cameras capable of panoramic viewing. The robot can be commanded to move to a target point through an unknown environment while satisfying multiple criteria. Advantages of the proposed method are confirmed by simulation. A multi-agent approach is also described for path planning with multiple robots.
This article reports on the Sixth Robot World Cup Competition and Conference (RoboCup-2002) Fukuoka/Busan, which took place from 19 to 25 June in Fukuoka, Japan. It was the largest RoboCup since 1997 and held the firs...
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This article reports on the Sixth Robot World Cup Competition and Conference (RoboCup-2002) Fukuoka/Busan, which took place from 19 to 25 June in Fukuoka, Japan. It was the largest RoboCup since 1997 and held the first humanoid league competition in the world. Further, the first ROBOTREX (robot trade and exhibitions) was held with about 50 companies, universities, and institutes represented. A total of 117,000 spectators witnessed this marvelous event, To the best of our knowledge, this was the largest robotic event in history.
We address the problem of applying reactive navigation methods for collision avoidance to systems where the dynamics cannot be neglected: mobile robots with slow dynamic capabilities, or systems working at high speeds...
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We address the problem of applying reactive navigation methods for collision avoidance to systems where the dynamics cannot be neglected: mobile robots with slow dynamic capabilities, or systems working at high speeds. Rather than embedding the motion constraints when designing a navigation method, we propose to introduce the robot dynamic constraints directly into the spatial representation. In this space the dynamic capabilities of the robot are implicitly represented. With minor modifications, standard reactive navigation methods can be used in this space implicitly taking into account the robot dynamic constraints. To validate this framework, we show experimental results using two reactive navigation methods whose original formulation do not take the robot dynamic constraints into account (the nearness diagram navigation and the potential field method).
The dynamic stability of a mobile manipulator using ZMP compensation is considered. A unified approach for the two subsystems is formulated using a redundant scheme. First, to conserve the dynamic stability of the sys...
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The dynamic stability of a mobile manipulator using ZMP compensation is considered. A unified approach for the two subsystems is formulated using a redundant scheme. First, to conserve the dynamic stability of the system, we define the performance index for the redundant system using the ZMP (zero moment point). This performance index represents the stability of the whole mobile manipulator system. Then, the redundancy resolution problem for optimizing the given performance index is solved using the null motion. Finally, the performance of this method is demonstrated by simulation study.
Membranes hold promise as a new water treatment method of the future. In this study, a device is designed to test the efficiency of membranes. The device is implemented to be controlled remotely. An Internet based rem...
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Membranes hold promise as a new water treatment method of the future. In this study, a device is designed to test the efficiency of membranes. The device is implemented to be controlled remotely. An Internet based remote control system is implemented on the membrane test device to make the users access to it easier. When using the system, a remote operator only needs a general purpose computer with Internet connection to conduct a test. The engineering objective is to perform robust control over the Internet connection. A control architecture that combines computer and the membrane testing hardware is built. This system has two primary parts, the server part and the client part. A server is used to provide the application to the operator to control the hardware. The client part is executed on the remote operator's computer. The client uses a TCP/IP protocol to connect to the server through the Internet. Communication coordination between the client and the server is developed using Java and Common Object Request Broker Architecture (CORBA).
In this paper, the development of a novel piezoelectric-based locomotion design for a meso-scale mobile robot is described. The design exploits a compliant mechanical structure that enables piezoelectric forces to be ...
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In this paper, the development of a novel piezoelectric-based locomotion design for a meso-scale mobile robot is described. The design exploits a compliant mechanical structure that enables piezoelectric forces to be amplified and transmitted to "legs" that propel the robot through a lift and pull scheme. The lift and pull design contrasts with typical slip/stick approaches that assume the inertia effects of the robot will allow the robot to slip on a smooth surface. By eliminating the slipping assumption, the potential surfaces that the proposed robot can traverse is significantly extended. Discussions are provided regarding the proposed locomotion method, kinematic modeling and system constraints, mechanical optimization, and control of the meso-scale robot.
An area-covering operation is a kind of complete coverage path planning, which requires the robot path to cover every part of the workspace, which is an essential issue in cleaning robots and many other robotic applic...
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An area-covering operation is a kind of complete coverage path planning, which requires the robot path to cover every part of the workspace, which is an essential issue in cleaning robots and many other robotic applications such as vacuum, robots, painter robots, land mine detectors, lawn mowers, and windows cleaners. In this paper, a novel biologically inspired neural network approach is proposed for complete coverage path planning with obstacle avoidance of a cleaning robot in a nonstationary environment. The dynamics of each neuron in the topologically organized neural network is characterized by a shunting equation or an additive equation derived from Hodgkin and Huxley's (1952) membrane equation. There are only local lateral connections among neurons. Thus the computational complexity linearly depends on the neural network size. The proposed model algorithm is computationally efficient, and can also deal with changing environment. Simulation results show that the proposed model is capable of planning collision-free complete coverage robot path.
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