In this paper a reactive and concurrent control framework for viewpoint control is developed. The viewpoint control task is decomposed into three control objectives namely;obstacle avoidance, visibility and precision....
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In this paper a reactive and concurrent control framework for viewpoint control is developed. The viewpoint control task is decomposed into three control objectives namely;obstacle avoidance, visibility and precision. A moving object is tracked in two panoramic sensors using color, and a scalar uncertainty metric of the object position estimate is introduced. Individual control objectives are accomplished by planning paths using harmonic functions and the task is accomplished using a new subject-to composition operator. It is shown that the system is stable under this composition. The system is demonstrated for tracking a human subject using a fixed panoramic sensor and another panoramic sensor mounted on a mobile platform.
Research in grasping and manipulation has mainly focused on the theoretical framework of the grasp analysis and synthesis, however there are few works in the practical implementation of these approaches. We propose se...
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Research in grasping and manipulation has mainly focused on the theoretical framework of the grasp analysis and synthesis, however there are few works in the practical implementation of these approaches. We propose several methods and criteria for constraining visually-selected planar grasps to the particular kinematics of a three-finger gripper, the Barrett Hand. The method relies on the features of an object provided by a vision system, and uses several criteria for classifying the possible grasps according to the configurations of the gripper that fit them. It has been implemented on the UMass Torso and the results are discussed.
The goal of this project is to develop a passive vision-based sensing system capable of monitoring an intersection by observing the vehicle and pedestrian flow, and predicting situations that might give rise to accide...
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The goal of this project is to develop a passive vision-based sensing system capable of monitoring an intersection by observing the vehicle and pedestrian flow, and predicting situations that might give rise to accidents. A single camera mounted at an arbitrary position looking at an intersection is used. However, for extended applications multiple cameras will be needed. Some of the key elements are camera calibration, motion tracking, vehicle classification, and predicting collisions. In this paper, we focus on motion tracking. Motion segmentation is performed using an adaptive background model that models each pixel as a mixture of Gaussians. The method used is similar to the Stauffer method for motion segmentation. Tracking of objects is performed by computing the overlap between oriented bounding boxes. The oriented boxes are computed by vector quantization of blobs in the scene. The principal angles computed during vector quantization along with other cues of the object are used for classification of detected entities into vehicles and pedestrians.
The applications of non-standard logic device are increasing fast in the industry. Many of these applications require high speed, low power, functionality and flexibility, which cannot be obtained by standard logic de...
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The applications of non-standard logic device are increasing fast in the industry. Many of these applications require high speed, low power, functionality and flexibility, which cannot be obtained by standard logic device. These special logic cells can be constructed by the topology design strategy automatically or manually. However, the need arises for the topology design verification. The layout versus schematic (LVS) analysis is an essential part of topology design verification, and subcircuit extraction is one of the operations in the LVS testing. In this paper, a novel neural network based heuristic dynamic programming algorithm (SubHDP) on subcircuit extraction problem is proposed. To evaluate its performance, we compare the SubHDP with a non-neural approach. The run time of SubHDP algorithm is faster than the non-neural algorithm when the main circuit has no more than 20,000 transistors, however, when the main circuit has more than 20,000 transistors, the non-neural algorithm becomes faster.
In the development of humanoid personal robots, accompanying the life of humans in their everyday activities, vision is no doubt an extremely important sensory capability to provide the robots with. We propose the app...
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In the development of humanoid personal robots, accompanying the life of humans in their everyday activities, vision is no doubt an extremely important sensory capability to provide the robots with. We propose the application of robot vision to the identification of hand posture, as a first step in gesture detection, for two main classes of reasons: 1) the recognition of human hand posture can help human-robot interaction, especially in relation to 'teaching by demonstration'; 2) the recognition of the robot hand can allow visual servoing, especially helpful in environments and tasks with a high level of uncertainty. The paper presents the development of a vision system for hand posture recognition, by describing the basic algorithmic implementation, based on symbolic representations, and reporting the experimental results obtained in the recognition of a three-fingered robotic hand.
By comparing the features of an object from a desired image to features of the object in the current image, geometric relationships are exploited to enable a Euclidean reconstruction from a homography matrix that rela...
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By comparing the features of an object from a desired image to features of the object in the current image, geometric relationships are exploited to enable a Euclidean reconstruction from a homography matrix that relates the image-space feedback to the position/orientation of the wheeled mobile robot (WMR) in a local coordinate system. The information obtained from the homography is used to develop a kinematic controller that yields asymptotic regulation of the position/orientation of a WMR system that is modeled as an underactuated "kinematic wheel" subject to nonholonomic constraints. The control design is facilitated by performing the stability analysis in terms of the unmeasurable camera/WMR Euclidean position. In contrast to many of the previous homography-based visual servo controllers, the kinematic control law does not depend on the numerical estimation of depth measurements. The control design is based on the nonlinear model of the vision system and the mobile robot system and is analyzed through a Lyapunov-based stability analysis.
Adenomatous polyps in the colon have a high probability of developing into subsequent colorectal carcinoma, the second leading cause of cancer deaths in United States. In this paper, we propose a new method for comput...
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Early diagnosis and removal of colonic polyps is effective in the elimination of subsequent carcinoma. This paper presents a new approach for computer-aided detection of polyps. The approach mimics the way the radiolo...
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Early diagnosis and removal of colonic polyps is effective in the elimination of subsequent carcinoma. This paper presents a new approach for computer-aided detection of polyps. The approach mimics the way the radiologists view CT abdomen images and utilizes several geometric attributes obtained from many triples of mutually orthogonal planes. The histogram of the attributes obtained from a sufficiently large number of perpendicular random images serves as a robust signature to represent the shape. We combine the new 3-D pattern recognition with a support vector machine classifier, and show that the number or the false positive detections in the initial polyp detection studies can be substantially reduced. One of the main contributions of this study is the thorough analysis of planar geometrical attributes. When an appropriate combination of planar attributes is used, the false positive rate is reduced by 87 percent beyond that of the initial stage detector, while maintaining a sensitivity level of 95 percent. Using such methods, radiologists should be able to view CTC data much more efficiently and accurately than without CAD.
We describe a de-centralised approach to resource management and discovery, based on a community of interacting software agents. Each agent either represents a user application, a resource, or a MatchMaking service. T...
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Dominance constraints are logical tree descriptions originating from automata theory that have multiple applications in computational linguistics. The satisfiability problem of dominance constraints is NP-complete. In...
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