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Computer and Robot Vision, 2009. CRV '09. Canadian Conference on

Date 25-27 May 2009

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Displaying Results 1 - 25 of 53
  • [Front cover]

    Publication Year: 2009, Page(s): C1
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  • [Title page i]

    Publication Year: 2009, Page(s): i
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  • [Title page iii]

    Publication Year: 2009, Page(s): iii
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  • [Copyright notice]

    Publication Year: 2009, Page(s): iv
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  • Table of contents

    Publication Year: 2009, Page(s):v - viii
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  • Conference Information

    Publication Year: 2009, Page(s):ix - xi
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  • Optical Flow from Motion Blurred Color Images

    Publication Year: 2009, Page(s):1 - 7
    Cited by:  Papers (2)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (7065 KB) | HTML iconHTML

    This paper presents an algorithm for the estimation of optical flow from a single, motion-blurred, color image. The proposed algorithm is based on earlier work that estimated the optical flow using the information from a single grey scale image. By treating the three color channels separately we improved the robustness of our approach. Since first introduced, different groups have used similar tec... View full abstract»

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  • A Multiple Hypothesis Tracking Method with Fragmentation Handling

    Publication Year: 2009, Page(s):8 - 15
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (558 KB) | HTML iconHTML

    In this paper, we present a new multiple hypotheses tracking (MHT) approach. Our tracking method is suitable for online applications, because it labels objects at every frame and estimates the best computed trajectories up to the current frame. In this work we address the problems of object merging and splitting (occlusions) and object fragmentations. Object fragmentation resulting from imperfect ... View full abstract»

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  • Efficient Target Recovery Using STAGE for Mean-shift Tracking

    Publication Year: 2009, Page(s):16 - 22
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (622 KB) | HTML iconHTML

    Robust visual tracking is a challenging problem, especially when a target undergoes complete occlusion or leaves and later re-enters the camera view. The mean-shift tracker is an efficient appearance-based tracking algorithm that has become very popular in recent years. Many researchers have developed extensions to the algorithm that improve the appearance model used in target localization. We app... View full abstract»

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  • Scalable Near-Optimal Recursive Structure from Motion

    Publication Year: 2009, Page(s):23 - 30
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (949 KB) | HTML iconHTML

    Rao-BlackWellized particle filters have achieved a breakthrough in the scalability of filters used for Structure from Motion (SFM) and Simultaneous Localization And Mapping (SLAM). The new generations of these filters employ as proposal distribution the optimal i.e, the one taking into consideration not only the previous motion of the camera, but also the most recent measurement. However th... View full abstract»

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  • A Robot Control and Augmented Reality Interface for Multiple Robots

    Publication Year: 2009, Page(s):31 - 36
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (913 KB) | HTML iconHTML

    Augmented reality technology is useful for interaction with robotic devices. A user can see the status of and direct orders to robots in the actual operating environment rather than on a remote computer console. A system is presented where fiducial markers are used for the dual purpose of reading the position of a multi-robot system and for user interaction using augmented reality. A user can obse... View full abstract»

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  • Canine Pose Estimation: A Computing for Public Safety Solution

    Publication Year: 2009, Page(s):37 - 44
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2709 KB) | HTML iconHTML

    In this paper we discuss determining canine pose in the context of common poses observed in urban search and rescue dogs through the use a sensor network made up of accelerometers. We discuss the use of the canine pose estimation system in a disaster environment, and propose techniques for determining canine pose. In addition we discuss the challenges with this approach in such environments. This ... View full abstract»

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  • A Generic Moment Invariants Based Supervised Learning Framework for Classification Using Partial Object Information

    Publication Year: 2009, Page(s):45 - 52
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1855 KB) | HTML iconHTML

    We present a novel classification scheme which uses partial object information that is selected adaptively using modified distance transform and represented as moment invariants (Hu moments) to compensate for scale, translation and rotational transformation(s). The moment invariants of different parts of an object are learned using AdaBoost algorithm [1]. The classifier obtained using the proposed... View full abstract»

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  • Probabilistic 3D Tracking: Rollator Users' Leg Pose from Coronal Images

    Publication Year: 2009, Page(s):53 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5751 KB) | HTML iconHTML

    Understanding the human gait is an important objective towards improving elderly mobility. In turn, gait analyses largely depend on kinematic and dynamic measurements. While the majority of current markerless vision systems focus on estimating 2D and 3D walking motion in the sagittal plane, we wish to estimate the 3D pose of rollator users' lower limbs from observing image sequences in the coronal... View full abstract»

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  • A Bayesian Algorithm for Reading 1D Barcodes

    Publication Year: 2009, Page(s):61 - 67
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (604 KB) | HTML iconHTML

    The 1D barcode is a ubiquitous labeling technology, with symbologies such as UPC used to label approximately 99% of all packaged goods in the US. It would be very convenient for consumers to be able to read these barcodes using portable cameras (e.g. mobile phones), but the limited quality and resolution of images taken by these cameras often make it difficult to read the barcodes accurately. We p... View full abstract»

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  • Face Classification Using Gabor Wavelets and Random Forest

    Publication Year: 2009, Page(s):68 - 73
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (188 KB) | HTML iconHTML

    This paper presents a new face classification technique based on Gabor wavelets and random forest. Random forest is a tree based classifier that consists of many decision trees. Each tree gives a classification and the output is the aggregate of these classifications. The proposed algorithm first extracts features from the face images using Gabor wavelet transform and then uses the random forest a... View full abstract»

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  • Video Pause Detection Using Wavelets

    Publication Year: 2009, Page(s):74 - 80
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1945 KB) | HTML iconHTML

    As the volume of digital video captured and stored continues to increase, research efforts have focused on content management systems for video indexing and retrieval applications. A first step in generic video processing is shot boundary detection. This paper addresses a novel algorithm for abrupt shot (cut/pause) detection-especially on frames with similar statistics-based on the wavelet transfo... View full abstract»

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  • Near-Real-Time Image Matting with Known Background

    Publication Year: 2009, Page(s):81 - 87
    Cited by:  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1734 KB) | HTML iconHTML

    This paper presents a novel matting algorithm for handling cases where foreground objects are in front of complex (non-smooth) but known background. The algorithm is based on a Poisson equation that takes the gradient of the known background into consideration. The quantitative evaluation based on ground truth shows that the matting results obtained using the proposed algorithm is more accurate th... View full abstract»

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  • Motion Histogram Analysis Based Key Frame Extraction for Human Action/Activity Representation

    Publication Year: 2009, Page(s):88 - 92
    Cited by:  Papers (4)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3970 KB) | HTML iconHTML

    Key frame extraction is an important technique in video summarization, browsing, searching, and understanding. In this paper, a novel algorithm for key frame extraction based on intra-frame and inter-frame motion histogram analysis is proposed. The extracted key frames contain complex motion and are salient in respect to their neighboring frames, and can be used to represent actions and activities... View full abstract»

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  • Towards Navigation Summaries: Automated Production of a Synopsis of a Robot Trajectories

    Publication Year: 2009, Page(s):93 - 100
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (5934 KB) | HTML iconHTML

    In this paper we describe an approach to computing a navigation summary:a visual synopsis of the notable images that characterize a trajectory. We use a combination of PCA and supplementary features to ensure both converge of the trajectory and appearance spaces. The results obtained from a series of experiments are promising and provide us with a method to index and classify video footage from ou... View full abstract»

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  • JEDI: Adaptive Stochastic Estimation for Joint Enhancement and Despeckling of Images for SAR

    Publication Year: 2009, Page(s):101 - 107
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (971 KB) | HTML iconHTML

    Synthetic aperture radar (SAR) images are degraded by a form of multiplicative noise known as speckle. Current methods for despeckling are limited in that they either do not perform enough noise attenuation, or do not adequately preserve or enhance image detail. We propose a novel adaptive stochastic method for joint enhancement and despecking of images (JEDI) for SAR. The proposed method utilizes... View full abstract»

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  • Adaptive Monte Carlo Retinex Method for Illumination and Reflectance Separation and Color Image Enhancement

    Publication Year: 2009, Page(s):108 - 115
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (751 KB) | HTML iconHTML

    A novel stochastic Retinex method based on adaptive Monte Carlo estimation is presented for the purpose of illumination and reflectance separation and color image enhancement. A spatially-adaptive sampling scheme is employed to generate a set of random samples from the image field. A Monte Carlo estimate of the illumination is computed based on the Pearson Type VII error statistics of the drawn sa... View full abstract»

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  • Non-Accidental Features for Gesture Spotting

    Publication Year: 2009, Page(s):116 - 123
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (798 KB) | HTML iconHTML

    In this paper we argue that gestures based on non-accidental motion features can be reliably detected amongst unconstrained background motion. Specifically, we demonstrate that humans can perform non-accidental motions with high accuracy, and that these trajectories can be extracted from video with sufficient accuracy to reliably distinguish them from the background motion. We demonstrate this by ... View full abstract»

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  • An Efficient and Fast Active Contour Model for Salient Object Detection

    Publication Year: 2009, Page(s):124 - 131
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (6091 KB) | HTML iconHTML

    In this paper, we investigate the polarity information to improve the active contour model proposed by Chunming et al. Unlike the traditional level set formulations, the variational level set formulation proposed by forces the level set function to be close to a signed distance function,and therefore completely eliminates the need of the reinitialization procedure and speeds up the curve evolution... View full abstract»

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  • Vision Based Metal Spectral Analysis Using Multi-label Classification

    Publication Year: 2009, Page(s):132 - 139
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (481 KB) | HTML iconHTML

    Industrial equipments that employ element identification tend to be expensive as they utilize built-in spectroscopes and computers for post processing. In this paper we present an in situ fully automatic method for detecting constituent elements in a sample specimen using computer vision and machine learning techniques on Laser Induced Breakdown Spectroscopy (LIBS) spectra. This enables the develo... View full abstract»

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