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Stereo Vision-based approaches for Pedestrian Detection

Stereo Vision-based approaches for Pedestrian Detection

引用

ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： M. Bertozzi E. Binelli A. Broggi M.D. Rose Dip. Ingegneria dell'Informazione Università di Parma Parma ITALY

This paper describes a system for pedestrian detection in stereo infrared images. The system is based on three different underlying approaches: warm area detection, edgebased detection, and v-disparity computation. Stereo is also used for computing the distance and size of detected objects. A final validation process is performed using head morphological and thermal characteristics. Neither temporal correlation, nor motion cues are used in this processing. The developed system has been implemented on an experimental vehicle equipped with two infrared camera and preliminarily tested in different situations.

关键词： image edge detection Infrared detectors Infrared imaging Object detection Temperature Magnetic heads Vehicles Cameras Shape Humans

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Multi-dimensional robust edge detection

Multi-dimensional robust edge detection

引用

conference on computer Vision and pattern recognition (CVPR)

作者： L. Liu B.G. Schunck C.R. Meyer Image Processing Laboratory Radiology Department School of Medicine University of Michigan Ann Arbor MI USA

A multidimensional edge model is established and a first-order estimation for multidimensional edge profiles is proposed. An optimal edge location detection algorithm is developed. The advantages of the algorithm are that (1) it has little dependence on assumptions of edge models, noise models, or smoothing filters, (2) it has better abilities for detecting very weak edges and making less edge orientation errors than other edge detectors, (3) it can handle corners and complicated multidimensional image structures, and (4) it detects different edge types at the same time.< >

关键词： Robustness image edge detection Detectors Noise measurement Voting Artificial intelligence Laboratories Detection algorithms Smoothing methods Filtering theory

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Real-time Gabor-type filtering using analog focal plane image processors

Real-time Gabor-type filtering using analog focal plane imag...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： B.E. Shi Department of Electrical and Electronic Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

We describe focal plane image processors which filter images in space by filters which are similar to even and odd Gabor filters. All processing.is done using analog circuits fabricated on the same die as the photosensors allowing combined sensing and processing.at rates as high as 5000 frames per second. Both 1D and 2D sensors have been designed, fabricated and tested. In the 2D sensor the tuned orientation can be steered and the filter response scaled by adjusting external bias voltages controlling parameters such as the gains of the analog processing.circuits. Because both even and odd Gabor-type filter outputs are calculated, sensors can be used in Gabor phase-based algorithms. As a simple example, we have embedded a 1D sensor on a mobile robot platform to perform image fixation.

关键词： Gabor filters Filtering image sensors Band pass filters image processing Analog computers Space technology Analog circuits Mobile robots Mechanical sensors

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Risk assessment of coronary arteries heart disease based on neuro-fuzzy classifiers

Risk assessment of coronary arteries heart disease based on ...

引用

17th Iranian conference in Biomedical Engineering, ICBME 2010

作者： Zand, Mohammad Danesh Ansari, Amir Hossein Lucas, Caro Zoroofi, Reza Aghaee Zade Department of Electrical and Computer Engineering University of Tehran Tehran Iran Control and Intelligent Processing Center of Excellence University of Tehran Tehran Iran

ISBN: (纸本)9781424474844

Coronary artery heart disease is one of the main reasons of death in under development countries such as Iran. Based on vagueness in data and uncertainty in decision making finding an optimal way for diagnosis would be helpful. The main goal of this article is to change the linguistic terms which doctors use for representing coronary heart disease possibility into classified stages. Indeed the medical diagnosis can be used as an issue of pattern recognition by an input vector of features introduced to a system so the corresponding risk of a particular disease can be estimated with this system. in this paper we used an adaptive network-based inference system in order to assess the risk of coronary artery heart diseases. With this point of view that fault in medical diagnosis are more errors of omission than of commission, we are going to reduce this diagnosis defect with Neuro-fuzzy networks such as Multi-Layer Perceptron (MLP) and an inference Neuro-fuzzy network such as ANFIS. In the last section we will compare these methods to show that ANFIS can obtain the best accommodation with doctor's opinions. © 2010 ieee.

关键词： Diagnosis

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Radiometric calibration from a single image

Radiometric calibration from a single image

引用

conference on computer Vision and pattern recognition (CVPR)

作者： S. Lin Jinwei Gu S. Yamazaki Heung-Yeung Shum Microsoft Research Asia China Tsinghua University China University of Tokyo Japan

Photometric methods in computer vision require calibration of the camera's radiometric response, and previous works have addressed this problem using multiple registered images captured under different camera exposure settings. In many instances, such an image set is not available, so we propose a method that performs radiometric calibration from only a single image, based on measured RGB distributions at color edges. This technique automatically selects appropriate edge information for processing. and employs a Bayesian approach to compute the calibration. Extensive experimentation has shown that accurate calibration results can be obtained using only a single input image.

关键词： Radiometry Calibration Cameras Layout computer vision Asia image analysis Filters Photometry Performance evaluation

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Depth from focus with one image

Depth from focus with one image

引用

ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： Jahne Geissler Scripps Institution of Oceanography University of California San Diego CA USA Institute for Environmental Physics University of Heidelberg Heidelberg Germany

A novel depth-from-focus technique is introduced that needs only a single image. It is based on a precise knowledge of the 3-D point spread function and requires objects of uniform brightness and simple shapes. Using adequate low-level image processing.techniques, the true area of the object and the distance from the focal plane is obtained from parameters such as the apparent (blurred) area of the object and the mean brightness in this area. The technique has been applied to measure the size distribution of bubbles submerged by breaking waves. A depth criterion is used to define a virtual measuring volume that is roughly proportional to the size of the bubbles.< >

关键词： Machine vision

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Estimation of illuminant direction, albedo, and shape from shading

Estimation of illuminant direction, albedo, and shape from s...

引用

conference on computer Vision and pattern recognition (CVPR)

作者： Q. Zheng R. Chellappa Signal and Image Processing Institute Department of Electrical Engineering Systems University of Southern California Los Angeles CA USA

A robust approach to recovery of shape from shading information is presented. Assuming uniform albedo and Lambertian surface for the imaging model, methods are presented for the estimation of illuminant direction and surface albedo. The illuminant azimuth is estimated by averaging local estimates. The illuminant elevation and surface albedo are estimated from image statistics. Using the estimated reflectance map parameters, the surface shape is computed using a procedure that implements the smoothness constraint by enforcing the gradients of reconstructed intensity to be close to the gradients of the input image. Typical results on real images are given to illustrate the usefulness of this approach.< >

关键词： Shape Surface reconstruction image reconstruction Reflectivity Lighting Optical imaging Statistics Parameter estimation Solid modeling Brightness

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Visual inspection of machined parts

Visual inspection of machined parts

引用

conference on computer Vision and pattern recognition (CVPR)

作者： B.R. Modayur L.G. Shapiro R.M. Haralick Department of Electrical Engineering FT-10 University of Washington Seattle WA USA Department of Computer Science & Engineering FR-35 University of Washington Seattle WA USA

A CAD-model-based machine vision system for dimensional inspection of machine parts is described, with emphasis on the theory behind the system. The original contributions of this work are: (1) the use of precise definitions of geometric tolerances suitable for use in image processing. (2) the development of measurement algorithms corresponding directly to these definitions, (3) the derivation of the uncertainties in the measurement tasks, and (4) the use of this uncertainty information in the decision-making process. Initial experimental results have verified the uncertainty derivations statistically and proved that the error probabilities obtained by propagating uncertainties are lower than those obtainable without uncertainty propagation.< >

关键词： Inspection Solid modeling Machine vision image processing Decision making Feature extraction Testing computer science Measurement uncertainty Error probability

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Site model supported monitoring of aerial images

Site model supported monitoring of aerial images

引用

ieee computer society conference on computer Vision and pattern recognition Workshops (CVPRW)

作者： Lin Zheng Chellappa Davis Zhang Center for Automation Research University of Maryland College Park MD USA

image monitoring, the process of locating and identifying significant changes or new activities, is one of the most important imagery exploitation tasks. A site model supported image monitoring system which utilizes image understanding techniques driven by an underlying site model is presented. In our approach, we first register the image to be monitored to an existing site model, which is constructed using the RADIUS Common Development Environment; the regions of interest are then delineated based on site information, camera acquisition parameters, and goals of the image analyst; object extraction is then done using constraints on size, shape, orientation, and shadow of the target object derived from known information about image resolution, 3-D shape of the object, camera viewing and illuminant directions. The results of object detection are used for monitoring changes.< >

关键词： image motion analysis image processing

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Fine grain image computations on electro-optical arrays

Fine grain image computations on electro-optical arrays

引用

conference on computer Vision and pattern recognition (CVPR)

作者： M.M. Eshaghian V.K. Prasanna-Kumar Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA

A set of array processors with optical interconnection networks for fine grain image processing.is considered. The unit-time interconnection made possible with the use of free-space optics results in efficient solutions to communication-intensive image computations. Using these models, a summary of results in designing O(log N) pointer-based algorithms for several tasks in low- and medium-level vision are presented, along with a generic subroutine that can be used to simulate algorithms for image computations on the proposed electro-optical arrays.< >

关键词： Computational modeling Phase change random access memory Optical computing Optical arrays Optical interconnections Optical network units Optical beams Algorithms Very large scale integration Space technology

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