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Motion and Video Computing, 2002. Proceedings. Workshop on

Date 9-9 Dec. 2002

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  • Proceedings Workshop on Motion and Video Computing (MOTION 2002)

    Publication Year: 2002
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    Freely Available from IEEE
  • Author index

    Publication Year: 2002, Page(s): 257
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    Freely Available from IEEE
  • A linear model for simultaneous estimation of 3D motion and depth

    Publication Year: 2002, Page(s):220 - 225
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (435 KB) | HTML iconHTML

    A novel model for simultaneous estimation of full 3D motion and 3D position in world coordinates from multi camera sequences is presented. To this end scene flow (see Vedula, S. et al., ICCV 1999, p.722-9, 1999) and disparity are estimated in a single estimation step. The key idea is to interpret sequences of 2 or more cameras as one 4D data set. In this 4D space, a given motion model, a camera mo... View full abstract»

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  • Infinitesimal motion estimation from multiple central panoramic views

    Publication Year: 2002, Page(s):229 - 234
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (295 KB) | HTML iconHTML

    We present an algorithm for infinitesimal motion estimation from multiple central panoramic views. We first derive the optical flow equations for central panoramic cameras as a function of both pixel coordinates and back-projection rays. We then derive a rank constraint on the optical flows across many frames, which must lie in a six dimensional subspace of a higher-dimensional space. We then prop... View full abstract»

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  • Tracking video objects using active contours

    Publication Year: 2002, Page(s):90 - 95
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (438 KB) | HTML iconHTML

    We address the problem of tracking video objects through several frames. We present a new tracking algorithm using the active contour theory framework. Our first contribution is to define a new tracking criterion combining geometrical and region-based features. Our second contribution is to provide the differentiation of the criterion and to deduce the evolution equation of the active contour. Fin... View full abstract»

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  • Automatic detection of rigid point matches

    Publication Year: 2002, Page(s):235 - 240
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    The perspective projections of n physical points on two views (stereovision) are constrained as soon as n ≥ 8. However, to prove, in practice, the existence of a rigid motion between two images, more than 8 point matches are desirable in order to compensate for the limited accuracy of the matches. We propose a computational definition of rigidity and a probabilistic criterion to rate the meanin... View full abstract»

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  • Capturing human hand motion in image sequences

    Publication Year: 2002, Page(s):99 - 104
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (511 KB) | HTML iconHTML

    Visually capturing human hand motion requires estimating the 3D hand global pose as well as its local finger articulations. This is a challenging task that requires a search in a high dimensional space due to the high degrees of freedom that fingers exhibit and the self occlusions caused by global hand motion. We propose a divide and conquer approach to estimate both global and local hand motion. ... View full abstract»

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  • Ghost3D: detecting body posture and parts using stereo

    Publication Year: 2002, Page(s):175 - 180
    Cited by:  Papers (4)  |  Patents (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (565 KB) | HTML iconHTML

    The paper describes how to detect human posture and upper body parts using overhead narrow-baseline stereo cameras. This information is extracted to understand retail customer behavior while shopping. We propose an approach to detect body posture without using an explicit 3D human model. The proposed method is based on a 3D silhouette, a silhouette-ghost of a person, that is constructed from a 2D ... View full abstract»

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  • On the binding mechanism of synchronised visual events

    Publication Year: 2002, Page(s):112 - 117
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (514 KB) | HTML iconHTML

    We address the problem of interpreting visual surveillance data by learning appropriate spatio-temporal subspaces of active image regions caused by scene activities. We focus on identifying regions of sustained change for recognising key stages of a visual behaviour. Our behaviour representation is based on the asynchrony or delay patterns of occurrence among local events which need not be spatial... View full abstract»

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  • Density estimation-based information fusion for multiple motion computation

    Publication Year: 2002, Page(s):241 - 246
    Cited by:  Papers (3)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1180 KB) | HTML iconHTML

    Vision tasks, such as motion analysis, object tracking, robot localization, and 3D modeling, often require the fusion of estimates coming from different sources. Most of the fusion algorithms, however, are not robust with respect to outliers and only consider one source models. Their performance deteriorates when initial assumptions are not valid (e.g., the presence of outliers in the data or data... View full abstract»

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  • Hybrid Monte Carlo filtering: edge-based people tracking

    Publication Year: 2002, Page(s):151 - 158
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1851 KB) | HTML iconHTML

    Statistical inefficiency often limits the effectiveness of particle filters for high-dimensional Bayesian tracking problems. To improve sampling efficiency on continuous domains, we propose the use of a particle filter with hybrid Monte Carlo (HMC), an MCMC (Markov chain Monte Carlo) method that follows posterior gradients toward. high probability states, while ensuring a properly weighted approxi... View full abstract»

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  • Integrated region- and pixel-based approach to background modelling

    Publication Year: 2002, Page(s):3 - 8
    Cited by:  Papers (18)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (856 KB) | HTML iconHTML

    In this paper a new probabilistic method for background modelling is proposed, aimed at the application in video surveillance tasks using a monitoring static camera. Recently, methods employing time-adaptive, per pixel, mixture of Gaussians (TAPPMOG) modelling have become popular due to their intrinsic appealing properties. Nevertheless, they are not able per se to monitor global changes in the sc... View full abstract»

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  • Continuous multi-views tracking using tensor voting

    Publication Year: 2002, Page(s):181 - 186
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1028 KB) | HTML iconHTML

    The paper presents a new approach for continuous tracking of moving objects observed by multiple fixed cameras. The continuous tracking of moving objects in each view is realized using a tensor voting based approach. We infer objects' trajectories by performing a perceptual grouping in 2D+t using tensor voting. Also, a multi-scale approach to bridge gaps in object trajectories is presented The tra... View full abstract»

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  • Model-based integration of visual cues for hand tracking

    Publication Year: 2002, Page(s):118 - 124
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB) | HTML iconHTML

    We present a model based approach to the integration of multiple cues for tracking high degree of freedom articulated motions and apply it to the problem of hand tracking using a single camera sequence. Hand tracking is particularly challenging because of occlusions, shading variations, and the high dimensionality of the motion. The novelty of our approach is in the combination of multiple sources... View full abstract»

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  • How well can wavelet denoising improve the accuracy of computing fundamental matrices?

    Publication Year: 2002, Page(s):247 - 252
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (531 KB) | HTML iconHTML

    The existence of noise is a serious obstacle for solving many computer vision problems. Computing the fundamental matrix is a typical one. Motivated by the success of the wavelet denoising technique in image processing, we study the interesting topic of how well wavelet denoising can improve the accuracy of computing fundamental matrices. The answer depends on: 1) what wavelets should be applied; ... View full abstract»

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  • Object localization in metric spaces for video linking

    Publication Year: 2002, Page(s):78 - 83
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (490 KB) | HTML iconHTML

    Objects often constitute the desired level of access for browsing and retrieval in video databases. We present an approach to create links between video segments that contain objects of interest, based on video structuring, object definition, and stochastic localization in the video structure. Localization is formulated in the metric mixture model framework, which allows for the joint probabilisti... View full abstract»

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  • Indexing key positions between multiple videos

    Publication Year: 2002, Page(s):65 - 71
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (518 KB) | HTML iconHTML

    Given two or more video sequences containing similar human activities (running, jumping, etc.), we want to devise a method which extracts spatio-temporal signatures associated with these activities, compares these signatures, and aligns key positions from different videos. We introduce a method which, in conjunction with a number of hypotheses, allows the analysis of the motion of specific body pa... View full abstract»

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  • Particle filter with analytical inference for human body tracking

    Publication Year: 2002, Page(s):159 - 165
    Cited by:  Papers (12)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (569 KB) | HTML iconHTML

    The paper introduces a framework that integrates analytical inference into the particle filtering scheme for human body tracking. The analytical inference is provided by body parts detection, and is used to update subsets of state parameters representing the human pose. This reduces the degree of randomness and decreases the required number of particles. This new technique is a significant improve... View full abstract»

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  • A hierarchical approach for obtaining structure from two-frame optical flow

    Publication Year: 2002, Page(s):214 - 219
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4332 KB) | HTML iconHTML

    A hierarchical iterative algorithm is proposed for extracting structure from two-frame optical flow. The algorithm exploits two facts: one is that in many applications, such as face and gesture recognition, the depth variation of the visible surface of an object in a scene is small compared to the distance between the optical center and the object; the other is that the time aliasing problem is al... View full abstract»

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  • Comparative study of coarse head pose estimation

    Publication Year: 2002, Page(s):125 - 130
    Cited by:  Papers (23)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (477 KB) | HTML iconHTML

    For many practical applications, it is sufficient to estimate a coarse head pose to infer gaze direction. Indeed, for any application in which the camera is situated unobtrusively in an overhead corner, the only possible inference is coarse pose because of the limitations of the quality and resolution of the incoming data. However, the vast majority of research in head pose estimation deals with t... View full abstract»

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  • Bayesian-based performance prediction for gait recognition

    Publication Year: 2002, Page(s):145 - 150
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4225 KB) | HTML iconHTML

    Existing gait recognition approaches do not give their theoretical or experiential performance predictions. Therefore, the discriminating power of gait as a feature for human recognition cannot be evaluated. We first propose a kinematic-based approach to recognize humans by gait. The proposed. approach estimates 3D human walking parameters by performing a least squares fit of the 3D kinematic mode... View full abstract»

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  • Robust probabilistic estimation of uncertain appearance for model-based tracking

    Publication Year: 2002, Page(s):28 - 33
    Cited by:  Papers (1)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (405 KB) | HTML iconHTML

    We present a method for appearance management for model-based visual tracking. The approach provides a concise mechanism for mapping image information to a model surface by taking into consideration uncertainties from the mapping process and by propagating appearance information from visible high-confidence surface regions to hidden or low-confidence regions. The method allows acquiring and utiliz... View full abstract»

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  • Joint space-time motion-based segmentation of image sequences with level set PDEs

    Publication Year: 2002, Page(s):50 - 55
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (544 KB) | HTML iconHTML

    We present a novel approach to motion segmentation by formulating it as the computation of the volume spanned by moving regions in the 3-dimensional spatio-temporal domain, in contrast to standard approaches to motion segmentation which are based on 2-dimensional spatial segmentations. We propose a Bayesian formulation for motion-based segmentation of image sequences, and we solve this Bayesian es... View full abstract»

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  • Object detection with multiple cameras

    Publication Year: 2002, Page(s):187 - 192
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3854 KB) | HTML iconHTML

    The paper presents an algorithm for detecting objects from multiple cameras. The algorithm (1) minimizes the effect of shadows, (2) detects and solves occlusion and (3) fuses objects that are detected in more than one camera. The algorithm was developed as part of SORTTS (soccer real-time tracking system), a tracking system based on a set of video cameras that covers a large area. The paper also r... View full abstract»

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  • Interactive indoor scene reconstruction from image mosaics using cuboid structure

    Publication Year: 2002, Page(s):208 - 213
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (359 KB) | HTML iconHTML

    We describe a method for reconstructing indoor scenes from image mosaics using prior knowledge of the cuboid structure of the environment. The method is inspired by traditional approaches to the camera pose estimation problems known as the PnL (perspective n lines) and PnA (perspective n angles) problems. We show that a cuboid can be reconstructed from the images of three of its corners. The neces... View full abstract»

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