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Edge-based algorithm for discontinuity adaptive color image smoothing

Pattern Recognition 2001年第2期34卷 333-342页

作者： Kang, Dong Joong Kweon, In So Signal Processing Lab. Samsung Adv. Institute of Technology P.O. Box 111 Suwon 440-600 Korea Republic of Robotics and Computer Vision Lab. Department of Electrical Engineering Korea Adv. Inst. Sci. and Technol. 207-43 Cheong. Dongdaemoon-Gu Seoul United States Pusan National University Pusan Korea Republic of KAIST Seoul Korea Republic of Seoul National University Seoul Korea Republic of Carnegie Mellon University Pittsburgh PA United States

We present a new scheme to increase the performance of edge-preserving image smoothing algorithm from the parameter tuning of a Markov random field (MRF) function. This method is based on an automatic control of the image-smoothing strength in the MRF function in which the parameter control of the function depends on edge magnitude resulted from discontinuities of image intensity. Without any binary decision for the edge magnitude, direct use of full edge magnitude could improve the performance of discontinuity-preserving image smoothing technique.

关键词： Image enhancement

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A concurrent region growing algorithm guided by circumscribed contours

A concurrent region growing algorithm guided by circumscribe...

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International Conference on Pattern Recognition

作者： X. Cufi X. Munoz J. Freixenet J. Marti Computer Vision and Robotics Group University of Girona Spain

ISBN: (纸本)0769507506

Image segmentation of natural scenes constitutes a major problem in machine vision. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. This approach begins by detecting the main contours of the scene which are later used to guide a concurrent set of growing processes. A previous analysis of the seed pixels permits adjustment of the homogeneity criterion to the region's characteristics during the growing process. Since the high variability of regions representing outdoor scenes makes the classical homogeneity criteria useless, a new homogeneity criterion based on clustering analysis and convex hull construction is proposed. Experimental results have proven the reliability of the proposed approach.

关键词： Image segmentation Image edge detection Layout Proposals Clustering algorithms computer vision Robot vision systems Machine vision Data mining Merging

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A new approach to segmentation based on fusing circumscribed contours, region growing and clustering

A new approach to segmentation based on fusing circumscribed...

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IEEE International Conference on Image Processing

作者： X. Munoz X. Cufi J. Freixenet J. Marti Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Catalonia Spain

ISBN: (纸本)0780362977

One of the major problems in machine vision is the segmentation of images of natural scenes. This paper presents a new proposal for the image segmentation problem which has been based on the integration of edge and region information. The main contours of the scene are detected and used to guide the posterior region growing process. The algorithm places a number of seeds at both sides of a contour allowing stating a set of concurrent growing processes. A previous analysis of the seeds permits to adjust the homogeneity criterion to the regions's characteristics. A new homogeneity criterion based on clustering analysis and convex hull construction is proposed.

关键词： Image segmentation Image edge detection Layout Clustering algorithms computer vision Robot vision systems Informatics Application software Machine vision Proposals

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Activity monitoring and summarization for an intelligent meeting room

Activity monitoring and summarization for an intelligent mee...

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Workshop on Human Motion

作者： I. Mikic K. Huang M. Trivedi Computer Vision and Robotics Research Laboratory Department of Electrical and Computer Engineering University of California San Diego USA

Intelligent meeting rooms should support efficient and effective interactions among their occupants. In this paper, we present our efforts toward building intelligent environments using a multimodal sensor network of static cameras, active (pan/tilt/zoom) cameras and microphone arrays. Active cameras are used to capture details associated with interesting events. The goal is not only to make a system that supports multi-person interactions in the environment in real time, but also to have the system remember the past, enabling reviews of past events in an intuitive and efficient manner. In this paper, we present the system specifications and major components, integration framework, active network control procedures and experimental studies involving multi-person interactions in an intelligent meeting room environment.

关键词： Monitoring Intelligent sensors Intelligent networks Smart cameras Microphone arrays Sensor arrays Intelligent structures Multimodal sensors Real time systems Control systems

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Use of decision trees in colour feature selection. Application to object recognition in outdoor scenes

Use of decision trees in colour feature selection. Applicati...

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IEEE International Conference on Image Processing

作者： J. Freixenet X. Llado J. Marti X. Cufi Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Catalonia Spain

A new method for the automated selection of colour features is described. The algorithm consists of two stages of processing. In the first, a complete set of colour features is calculated for every object of interest in an image. In the second stage, each object is mapped into several n-dimensional feature spaces in order to select the feature set with the smallest variables able to discriminate the remaining objects. The evaluation of the discrimination power for each concrete subset of features is performed by means of decision trees composed of linear discrimination functions. This method can provide valuable help in outdoor scene analysis where no colour space has been demonstrated as being the most suitable. Experiment results recognizing objects in outdoor scenes are reported.

关键词： Decision trees Object recognition Layout Application software Geometry computer vision Robot vision systems robotics and automation Informatics Concrete

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Distributed video networks for incident detection and management

Distributed video networks for incident detection and manage...

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International Conference on Intelligent Transportation

作者： M.M. Trivedi I. Mikic G. Kogut Computer Vision and Robotics Research Laboratory University of California San Diego La Jolla CA USA

We describe a novel architecture for developing distributed video networks for incident detection and management. The networks utilize both rectilinear and omnidirectional cameras. It is recognized that robust and reliable segmentation of automobiles and shadows is critical in our application. We describe new segmentation procedure and present experimental results to support the basic feasibility and utility of the algorithms.

关键词： Delay estimation Layout Robustness Image segmentation Telecommunication traffic Sensor fusion computerized monitoring Remote monitoring Sensor arrays computer network management

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vision-based vehicle classification

Vision-based vehicle classification

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International Conference on Intelligent Transportation

作者： S. Gupte O. Masoud P. Papanikolopoulos Artificial Intelligence Robotics and Vision LaboratoryDepartment of Computer Science and Engineering University of Minnesota Minneapolis MN USA

This paper presents algorithms for vision-based detection and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. Processing is done at three levels: raw images, blob level and vehicle level. Vehicles are modeled as rectangular patches with certain dynamic behavior. Kalman filtering is used to estimate vehicle parameters. The proposed method is based on the establishment of correspondences among blobs and vehicles, as the vehicles move through the image sequence. Experimental results from highway scenes are provided, which demonstrate the effectiveness of the method.

关键词： Image sequences Layout Vehicle detection Traffic control Cameras Vehicle dynamics Kalman filters Filtering Parameter estimation Road transportation

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Complementary linear biases in spatial derivative estimation for improving geometry-driven diffusion processes

Complementary linear biases in spatial derivative estimation...

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15th International Conference on Pattern Recognition, ICPR 2000

作者： Toczyski, William D. Papanikolopoulos, Nikolaos P. Artificial Intelligence Robotics and Vision Laboratory Department of Computer Science and Engineering University of Minnesota 4-192 EE/CS Bldg. 200 Union Street SE MinneapolisMN55455 United States

ISBN: (纸本)0769507506

This paper introduces a broadly applicable technique for visibly improving the digitized, grey-level outputs produced by a host of iterative geometric diffusion methods. By replacing standard, central-difference estimates of discrete spatial gradients with alternating image derivative estimates that are offset by known, complementary biases, errors accumulated during iteration are reduced and the quality of geometric diffusions is improved. This unexpected synergy occurs at no added computational cost over central difference methods. Very simple to implement, the innovation is introduced at the level of spatial derivatives;hence, for a given process, any derived higher level mathematical properties - for example, group invariance or scale-space properties - can be preserved. © 2000 IEEE.

关键词： Iterative methods

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Image Mosaicking for Estimating the Motion of an Underwater Vehicle

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IFAC Proceedings Volumes 2000年第21期33卷 147-152页

作者： Rafael García Xevi Cufí Lluís Pacheco Computer Vision and Robotics Group Institute of Informatics and Applications University of Girona Edifici Politècnica II Escola Politecnica Superior 17071 Girona Spain

A composite image constructed by combining a set of smaller images is known as mosaic. Mosaics of the ocean floor are very useful in undersea exploration, creation of visual maps, navigation, etc. A feature-based mosaicking method is proposed, based on textural parameters of certain parts of the image. Textures significantly help in the identification of given features of the image. The tracking of these features over time solves the matching problem in consecutive frames. The correspondence is established with the aid of a cross-correlation algorithm, applied to the colour components of the image in the HSI space. Once the correspondence has been found a displacement vector is obtained relating the features of two images of the sequence. The motion parameters between consecutive frames are estimated through an error minimisation technique. Once the best transformation between two frames has been found, images are warped together composing the mosaic, and information about the vehicle motion is recovered. The experimental results on real images show the effectiveness of the proposed method.

关键词： computer vision Motion estimation Autonomous vehicles Image registration Robot navigation Marine Systems

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Counting bicycles using computer vision

Counting bicycles using computer vision

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International Conference on Intelligent Transportation

作者： S. Rogers N.P. Papanikolopoulos Artificial Intelligence Robotics and Vision Laboratory Department of Computer Science and Engineering University of Minnesota Minneapolis MN USA

This paper describes a system for monitoring bicycle activity in sequences of gray scale images acquired by a stationary camera. The system is suitable for use in applications that aim to increase the efficiency and safety of existing traffic systems. One such application is to determine usage and congestion of bicycle path. The output of the system is a count of the number of bicycles detected in the image sequence. The system is model-based in the sense that it uses a simple model of two circular objects separated by a relatively known distance. Our system uses four levels of abstraction: raw images, blobs, edge images, and the bicycle model. The system was implemented on a dual Pentium computer equipped with a Matrox imaging board and achieved a peak performance of 8 frames per second. Experimental results based on outdoor scenes have shown promising results for a variety of weather conditions.

关键词： Bicycles computer vision Application software computerized monitoring Cameras Safety Traffic control Image sequences Image edge detection Layout

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