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共 122 条记录，以下是41-50 订阅

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Shape-based object segmentation with simultaneous intensity adjustment

Shape-based object segmentation with simultaneous intensity ...

引用

3rd canadian conference on computer and robot vision, crv 2006

作者： Tae-O-Sot, Sarawut Auethavekiat, Supatana Jitapunkul, Somchai Center of Excellence in Telecommunication Technology Department of Electrical Engineering Chulalongkorn University Bangkok 10330 Thailand Computer Center Mahidol University Bangkok 10400 Thailand

ISBN: (纸本)0769525423

Most segmentation algorithms are based on the assumption of intensity homogeneity within an object. However, in many applications, the object of interest contains more than one homogenous region. Even when the object's shape is known, such object is not effectively extracted. In this paper, we propose a segmentation process for the objects containing 2 homogenous regions. Our method is based on the level set method. We construct the shape model from the set of manually extracted objects. The parameters that represent the shape model are coefficients of PCA basis. Instead of defining a new cost-function based on heterogeneity assumption, we repeatedly form a homogenous region inside the evolving curve and evolve the curve by the level set method. Our experiment on medical images indicated that our method effectively segmented object with one and two homogenous regions. © 2006 IEEE.

关键词： Object recognition

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Local feature matching for face recognition

Local feature matching for face recognition

引用

3rd canadian conference on computer and robot vision, crv 2006

作者： Ersi, Ehsan Fazl Zelek, John S. Dept. of Systems Design Engineering University of Waterloo Waterloo N2L 3G1 Canada

ISBN: (纸本)0769525423

In this paper a novel technique for face recognition is proposed. Using the statistical Local Feature Analysis (LFA) method, a set of feature points is extracted for each face image at locations with highest deviations from the expectation. Each feature point is described by a sequence of local histograms captured from the Gabor responses at different frequencies and orientations around the feature point. Histogram intersection is used to compare the Gabor histogram sequences in order to find the matched feature points between two faces. Recognition is performed based on the average similarity between the best matched points, in the probe face and each of the gallery faces. Several experiments on the FERET set of faces show the superiority of the proposed technique over all considered state-of-the-art methods (Elastic Bunch Graph Matching, LDA+PCA, Bayesian Intra/extrapersonal Classifier, Boosted Haar Classifier), and validate the robustness of our method against facial expression variation and illumination variation. © 2006 IEEE.

关键词： Face recognition

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Confidence based updation of motion conspicuity in dynamic scenes

Confidence based updation of motion conspicuity in dynamic s...

引用

3rd canadian conference on computer and robot vision, crv 2006

作者： Singh, Vivek Kumar Maji, Subhransu Mukerjee, Amitabha Dept of Computer Science and Engineering Indian Institute of Technology Kanpur India

ISBN: (纸本)0769525423

Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency maps in static images is indexed on image region (pixels), psychovisual data indicates that in dynamic scenes human attention is object driven and localized motion is a significant determiner of object conspicuity. We have introduced a confidence map, which indicates the uncertainty in the position of the moving objects incorporating the exponential loss of information as we move away from the fovea. We improve the model further using a computational model of visual attention based on perceptual grouping of objects with motion and computation of a motion saliency map based on localized motion conspicuity of the objects. Behaviors exhibited in the system include attentive focus on moving wholes, shifting focus in multiple object motion, focus on objects moving contrary to the majority motion. We also present experimental data contrasting the model with human gaze tracking in a simple visual task. © 2006 IEEE.

关键词： Motion estimation

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3D face reconstruction from stereo video

3D face reconstruction from stereo video

引用

3rd canadian conference on computer and robot vision, crv 2006

作者： Park, Unsang Jain, Anil K. Computer Science and Engineering Michigan State University United States

ISBN: (纸本)0769525423

Face processing in video is receiving substantial attention due to its importance in many security-related applications. A video provides rich information about a face (multiple frames and temporal coherence) that can be utilized in conjunction with 3D face models, if available, to establish a subject's identity. We propose a 3D face modeling method that reconstructs a user-specific model derived from a generic 3D face model and two video frames of the user. The user-specific 3D face model can be enrolled into the 3D face database at the enrollment stage to be used in later identification process. The reconstruction process can also be used for the probe data in recognition stage, where the reconstructed 3D face model using probe face is used to generate an optimal view and lighting for the recognition process. The advantage of utilizing reconstructed 3D face model is demonstrated by conducting face recognition experiments for 15 probe subjects against a gallery database containing 100 subjects. © 2006 IEEE.

关键词： Image reconstruction

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Expert knowledge based automatic Regions-of-Interest (ROI) selection in scanned documents for digital image encryption

Expert knowledge based automatic Regions-of-Interest (ROI) s...

引用

3rd canadian conference on computer and robot vision, crv 2006

作者： Wong, Alexander Bishop, William Department of Electrical and Computer Engineering University of Waterloo Waterloo Ont. Canada

ISBN: (纸本)0769525423

Conventional image-oriented cryptographic techniques lack the flexibility needed for content-specific security features such as the concealment of confidential information within a portion of a document. Content-specific security is particularly important for digital archival systems that store sensitive documents in the form of digital images. Recently, a novel image encryption scheme utilizing multiple levels ofregions-of-interest (ROI) privileges for digital document encryption was developed to address the needs of modern digital document management systems. This image encryption scheme requires the selection of regions-of-interest for encryption. The process of manually selecting regions can be time-consuming. This paper presents an automatic, regions-of-interest selection algorithm that utilizes an expert knowledge learning system to select regions of interest in a scanned document image for the purpose of minimizing human interaction time during the encryption process. Experimental results show that a high level of accuracy and significant timesaving benefits can be achieved using the proposed algorithm. © 2006 IEEE.

关键词： Knowledge based systems

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Simultaneous tracking and action recognition using the PCA-HOG descriptor

Simultaneous tracking and action recognition using the PCA-H...

引用

3rd canadian conference on computer and robot vision, crv 2006

作者： Lu, Wei-Lwun Little, James J. Department of Computer Science University of British Columbia Vancouver BC Canada

ISBN: (纸本)0769525423

This paper presents a template-based algorithm to track and recognize athlete's actions in an integrated system using only visual information. Conventional template-based action recognition systems usually consider action recognition and tracking as two independent problems, and solve them separately. In contrast, our algorithm emphasizes that tracking and action recognition can be tightly coupled into a single framework, where tracking assists action recognition and vise versa. Moreover, this paper proposes to represent the athletes by the PCA-HOG descriptor, which can be computed by first transforming the athletes to the grids of Histograms of Oriented Gradient (HOG) descriptor and then project it to a linear subspace by Principal Component Analysis (PCA). The exploitation of the PCA-HOG descriptor not only helps the tracker to be robust under illumination, pose, and view-point changes, but also implicitly centers the figure in the tracking region, which makes action recognition possible. Empirical results in hockey and soccer sequences show the effectiveness of this algorithm. © 2006 IEEE.

关键词： Tracking (position)

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Autonomous fish tracking by ROV using monocular camera

Autonomous fish tracking by ROV using monocular camera

引用

3rd canadian conference on computer and robot vision, crv 2006

作者： Jun, Zhou Clark, Christopher M. Lab for Autonomous and Intelligent Robotics Department of Mechanical Engineering University of Waterloo 200 University Ave. West Waterloo Ont. N2L 3G1 Canada

ISBN: (纸本)0769525423

This paper concerns the autonomous tracking of fish using a Remotely Operated Vehicle (ROV) equipped with a single camera. An efficient image processing algorithm is presented that enables pose estimation of a particular species of fish - a Large Mouth Bass. The algorithm uses a series of filters including the Gabor filter for texture, projection segmentation, and geometrical shape feature extraction to find the fishes distinctive dark lines that mark the body and tail. Feature based scaling then produces the position and orientation of the fish relative to the ROV. By implementing this algorithm on each frame of a series of video frames, successive relative state estimates can be obtained which are fused across time via a Kalman Filter. Video taken from a VideoRay MicroROV operating within Paradise Lake, Ontario, Canada was used to demonstrate off-line fish state estimation. In the future, this approach will be integrated within a closed-loop controller that allows the robot to autonomously follow the fish and monitor its behavior. © 2006 IEEE.

关键词： Tracking (position)

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Automated detection of unusual events on stairs

Automated detection of unusual events on stairs

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3rd canadian conference on computer and robot vision, crv 2006

作者： Snoek, Jasper Hoey, Jesse Stewart, Liam Zemel, Richard S. Department of Computer Science University of Toronto 10 King's College Rd. Toronto Ont. Canada

ISBN: (纸本)0769525423

This paper presents a method for automatically detecting and recognising unusual events on stairs from video data. The motivation is to provide a tool for biomedical researchers to rapidly find and analyse the events of interest within large quantities of video data. Our system identifies potential sequences containing anomalies, and reduces the amount of data that needs to be searched by a human. We apply adaptive background subtraction to segment the person using the stairs, followed by affine flow computation over the segmented region. A hidden Markov model (HMM) is then used to analyse the temporal progression of the affine features. A single HMM is trained on sequences of normal stair use, and a threshold is used to detect unusual events in new data. We also introduce a temporal segmentation method using a conditional random field (CRF). We demonstrate our system on a data set with three persons. © 2006 IEEE.

关键词： Video signal processing

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3D Terrain Modeling for rover localization and navigation

3D Terrain Modeling for rover localization and navigation

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3rd canadian conference on computer and robot vision, crv 2006

作者： Bakambu, Joseph Nsasi Allard, Pierre Dupuis, Erick Canadian Space Agency Space Technologies 6767 Route de l'Aéroport Saint-Hubert Que.´. J3Y 8Y9 Canada

ISBN: (纸本)0769525423

This paper presents the problem of constructing a 3D terrain model for localization and navigation of planetary rover. We presented our approach to 3D terrain reconstruction from large sparse range data sets. In space robotics applications, an accurate and up-to-date model of the environment is very important for a variety of reasons. In particular, the model can be used for safe tele-operation, path planning and mapping points of interest. We propose an on-line terrain modeling using data provided by an on-board high resolution, accurate, 3D range sensor. Our approach is based on on-line acquisition of range scans from different view-points with overlapping regions, merge them together into a single point cloud, and then fit an irregular triangular mesh on the merged data. The outdoor experimental results demonstrate the effectiveness of the reconstructed terrain model for rover localization, path planning and motion execution scenario. © 2006 IEEE.

关键词： Image reconstruction

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Determining shot accuracy of a robotic pool system

Determining shot accuracy of a robotic pool system

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3rd canadian conference on computer and robot vision, crv 2006

作者： Lam, Joseph Long, Fei Roth, Gerhard Greenspan, Michael Dept. Electrical and Computer Engineering Queen's University Kingston Canada Institute for Information Technology National Research Council of Canada School of Computing Queen's University Kingston Canada

ISBN: (纸本)0769525423

A process is described to determine the shot accuracy of an automatic robotic pool playing system. The system comprises a ceiling-mounted gantry robot, a special purpose cue end-effector, a ceiling-mounted camera, and a standard bar pool table. Two methods are compared for extracting the homography between the camera and the table plane. A challenge was the relatively large area, of the table surface, which required a similarly large chessboard pattern to determine the point homography. In contrast, the Dual Conic method required only a set of orthogonal lines as a calibration target, which was more convenient to manipulate, and could be calculated from the integration of multiple images with multiple target locations. The Dual Conic method was shown experimentally to recover the homography with a similar, and sometimes greater accuracy than the Chessboard method. An experimental procedure was devised to measure the accuracy of an automatic shot using a sequence of images acquired from the overhead camera. For a set of 10 shots, the average absolute angular error in placing a shot was determined to be 0.74°, with a standard deviation of 0.96°. © 2006 IEEE.

关键词： Mobile robots

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