Titlebook: Statistical Methods in Video Processing; ECCV 2004 Workshop S Dorin Comaniciu,Rudolf Mester,David Suter Conference proceedings 2004 Springe

Melodrama

Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibratedk with an unorganized set of images and to avoid error accumulation. By using object-centered geometric primitives we are able to preserve the flexibility of the method to describe complex free-form structures, preserve the possibility to build the dense model in an incremental way, and to retain th

obsession

Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettesl hull hypotheses; if a sequence of input images is available, a dynamic programming approach is applied to find the maximum likelihood path through the feasible hypotheses over time. We show results of our algorithm on real and synthetic images of people.

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A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detectionew feature is the photometric detection of occluded pixels. We compare the algorithm with existing optical flow methods on ground truth data. The comparison shows that our algorithm generates the most accurate optical flow estimates. We further illustrate the approach with some challenging real-worl

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Needlework

A New Robust Technique for Stabilizing Brightness Fluctuations in Image Sequencess . of pairs images. The system implementation is based on the novel use of general purpose PC graphics hardware. The overall system presented here is able to deal with much more severe distortion than previously was the case, and in addition can operate at 7 fps on a 1.6GHz PC with broadcast standa

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BROW

Parametric and Non-parametric Methods for Linear Extraction and mode estimation (2) dominant modes are detected in ways that are more correct and less sensitive to errors and biases than non-maxima suppression. The methods can be used with any feature type and any associated feature detection algorithm provided that it outputs a feature position, orientatio

Rustproof

Crowd Segmentation Through Emergent Labelingnction is estimated though a technique akin to soft-assign which can be viewed as a form of relaxation labeling that propagates constraints from regions of low to high ambiguity. No prior knowledge regarding the number of people in the scene is required.

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Conference proceedings 2004backgrounds, background modeling, grouping using feature uncertainty, and crowd segmentation from video. We wish to thank the authors of all submitted papers for their interest in the workshop.Wealsowishtothankthemembersofourprogramcommitteeandthe external reviewers for their commitment of time and

Digitalis