Many nonmodernized aircraft lack the ability to capture, in a computer readable medium, information related to cockpit display instruments, such as airspeed indicators and barometric altimeters. Most of these old cock...
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Many nonmodernized aircraft lack the ability to capture, in a computer readable medium, information related to cockpit display instruments, such as airspeed indicators and barometric altimeters. Most of these old cockpit instruments consist of a mechanical or pneumatically operated analog device without an electronic interface. In this work, we present a new video to information (v2I) system to enable these old instruments to output digital readouts by using a camera system and embodiments of imageprocessingalgorithms to interpret video data streams. A camera system is trained across the instruments and captures image frames. An imageprocessing system then extracts graphical symbols such as needle position, alphanumeric readout, bar position, color, and similar informative cues. The data are then interpreted and information is extracted, recorded and transmitted to a responsive system, which may then act upon the data as desired for data collection and analysis.
In field environments it is not usually possible to provide robotic systems with valid/complete geometric models of the task and environment. The robot or robot teams will need to create these models by performing app...
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In field environments it is not usually possible to provide robotic systems with valid/complete geometric models of the task and environment. The robot or robot teams will need to create these models by performing appropriate sensor actions. Additionally, the robot(s) will need to position their sensors in a task directed optimum way. Here, an algorithm based on iterative sensor planning and sensor redundancy is proposed to enable them to efficiently position their cameras with respect to the task/target. The method assumes stationary robotic vehicles with cameras carried by articulated mounts. The algorithm uses the measured scene information to find new camera mount poses. Simulations and experiments show the effectiveness of this algorithm.
The estimation of velocity has been proposed as a preprocessing step for many high-level vision algorithms for digital images. A new Galerkin inverse finite element approach is described for estimating velocity which ...
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The estimation of velocity has been proposed as a preprocessing step for many high-level vision algorithms for digital images. A new Galerkin inverse finite element approach is described for estimating velocity which uses an adaptive triangular mesh in which the resolution only increases where motion is found to occur. The mesh facilitates a reduction in computational effort by enabling processing to focus on particular objects of interest in a scene, specifically those areas where motion is detected without expending effort on computing flow for regions in which there is no motion. A confidence measure is calculated for the detected motion and if this measure passes a threshold then the motion is used for an adaptive mesh refinement process. The method is applied to real images where a significant part of the image is static. Results show that the adaptive framework estimates motion efficiently without loss of accuracy.
Many visual learning tasks are usually confronted by some common difficulties. One of them is the lack of supervised information, due to the fact that labeling could be tedious, expensive or even impossible. Another d...
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In this paper, we discuss the origin, design, performance, and directions of the inAspect high-performance signal and imageprocessing package for Java. The vector Signal and imageprocessing (vSIPL) community provide...
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ISBN:
(纸本)9781581135992
In this paper, we discuss the origin, design, performance, and directions of the inAspect high-performance signal and imageprocessing package for Java. The vector Signal and imageprocessing (vSIPL) community provides a standardized API (Application Programmer Interface) for high-performance signal and imageprocessing plus linear algebra with a C emphasis and object-based design framework. Java programmers need high performance and/or portable APIs for this broad base of functionality as well. InAspect addresses PDA's, embedded Java boards, workstations, and servers, with emphasis on embedded systems at present. Efforts include supporting integer precisions and utilizing CORDIC algorithms, both aimed at added relevance for limited-performance environments, such as present-day PDAs.
This paper describes HIPED, a tool for fast power estimation of DSP algorithms given its data-flow graph representation. Each node of the DFG is characterized for low-power using LP-DSM. In order to estimate the power...
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This paper describes HIPED, a tool for fast power estimation of DSP algorithms given its data-flow graph representation. Each node of the DFG is characterized for low-power using LP-DSM. In order to estimate the power consumption of the DSP, HIPED computes the entropy of the data transferred between two computational nodes. The entropy, which measures the data-activity of the circuit, is subsequently used by the power macro-model to predict the power consumption of the sink node. The total power consumption is thus obtained by summing up the power consumption of each node of the DFG. HIPED is used to estimate the power consumption of a variety of DSP algorithms used in typical wireless receivers implemented in 0.35 /spl mu/m, 3.3 v CMOS process. The characterization process of arithmetic units implements both using SPL and CMOS circuit style showed that LP-DSM has lower prediction sum of error and lower error in cycle power than Gupta's algorithm. Furthermore, the simulation results using real data showed that HIPED has a very good accuracy compared to circuit level power reported by PowerMill. The observed average error of our benchmark circuits is less than 10%.
We present a hierarchical and robust algorithm addressing the problem of filtering and segmentation of three-dimensional acoustic images. This algorithm is based on. the tensor voting approach - a unified computationa...
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We present a hierarchical and robust algorithm addressing the problem of filtering and segmentation of three-dimensional acoustic images. This algorithm is based on. the tensor voting approach - a unified computational framework for the inference of multiple salient structures. Unlike most previous approaches, no models or prior information of the underwater environment, nor the intensity information of acoustic images is considered in this algorithm. Salient structures and outlier noisy points are directly clustered in two steps according to both the density and the structural information of input data. Our experimental trials show promising results, very robust despite the low computational complexity.
In this paper, a visual servoing for the tracking of objects in a plane using a fixed camera system is shown. The method proposed of tracking makes use of a variable number of trackers determined automatically. The in...
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In this paper, a visual servoing for the tracking of objects in a plane using a fixed camera system is shown. The method proposed of tracking makes use of a variable number of trackers determined automatically. The integration of the predictions of each of them affords a flexible and robust system of tracking. The studies of efficiency carried out reflect that the delays produced are suitable for use in visual servoing. The proposed system can be generalized to tracking three-dimensional objects with movable cameras.
The crucial theoretical aspects in solving scattering inverse problems, as required for radar sensing and image formation, are related to the development of system-oriented statistical signal processing techniques, ex...
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ISBN:
(纸本)0780373308
The crucial theoretical aspects in solving scattering inverse problems, as required for radar sensing and image formation, are related to the development of system-oriented statistical signal processing techniques, exploiting in some optimal way the available model-level and system-level "degrees of freedom". Control of these degrees of freedom is the hope for solving many existing algorithm design and system-level problems that cause the ill-posed nature of the radar image formation inverse problems. We address a new approach to radar imaging (RI) problems, stated and treated as ill-posed problems of restoring the extended object power scattering function by processing the data signals distorted in the stochastic measurement channel. By exploiting the idea of combining the experiment design and descriptive regularization theory methods (see Falkovich, S.E. et al., Radio i Sviaz, 1989; Harmanci, K. et al., IEEE Trans. Sig. Proc., vol.48, no.1, p.1-13, 2000; Kravchenko, v.F. et al., J. Commun. Technology and Electronics, vol.45, no.8, p.872-5, 2000) for the scattering inverse problems solution, we propose a fused experiment-design-regularization (EDR) technique for high-resolution radar image formation. With this technique, we derive a family of EDR imaging algorithms and illustrate their efficiency with simulation results.
We develop new algorithms and architectures for matrix multiplication on configurable hardware. These designs significantly reduce the latency as well as the area. Our designs improve the previous designs in terms of ...
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We develop new algorithms and architectures for matrix multiplication on configurable hardware. These designs significantly reduce the latency as well as the area. Our designs improve the previous designs in terms of the area/speed metric where the speed denotes the maximum achievable running frequency. The area/speed metrics for the previous designs and our design are 14.45, 4.93, and 2.35, respectively, for 4 /spl times/ 4 matrix multiplication. The latency of one of the previous design is 0.57 /spl mu/s, while our design takes 0.15 /spl mu/s using 18% less area. The area of our designs is smaller by 11% - 46% compared with the best known systolic designs with the same latency for the matrices of sizes 3 /spl times/ 3 - 12 /spl times/ 12. The performance improvements tend to grow with the problem size.
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