By Pier-Luc St-Onge, Guillaume-Alexandre Bilodeau (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Nikos Paragios, Syeda-Mahmood Tanveer, Tao Ju, Zicheng Liu, Sabine Coquillart, Carolina Cruz-Neira, Torsten Müller, Tom Malzbender (eds.)

It is with nice excitement that we welcome you to the complaints of the third - ternational Symposium on visible Computing (ISVC 2007) held in Lake Tahoe, Nevada/California. ISVC o?ers a typical umbrella for the 4 major parts of visualcomputing together with vision,graphics,visualization,andvirtualreality.Its objective is to supply a discussion board for researchers, scientists, engineers and practitioners during the global to offer their most recent examine ?ndings, principles, devel- ments, and functions within the broader sector of visible computing. Thisyear,theprogramconsistedof14oralsessions,1postersession,6special tracks, and six keynote shows. Following a truly profitable ISVC 2006, the reaction to the decision for papers was once nearly both powerful; we bought over 270 submissions for the most symposium from which we permitted seventy seven papers for oral presentation and forty two papers for poster presentation. particular song papers have been solicited individually throughout the Organizing and software Committees of every tune. a complete of 32 papers have been approved for oral presentation and five papers for poster presentation within the distinct tracks.

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Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part II

It's with nice excitement that we welcome you to the court cases of the third - ternational Symposium on visible Computing (ISVC 2007) held in Lake Tahoe, Nevada/California. ISVC o? ers a typical umbrella for the 4 major components of visualcomputing together with vision,graphics,visualization,andvirtualreality.

Additional resources for Advances in Visual Computing: Third International Symposium, ISVC 2007, Lake Tahoe, NV, USA, November 26-28, 2007, Proceedings, Part II

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With a better background subtractor, we expect to get better results. For the following results, both filters are used. a) b) c) Fig. 4. Visual results when merging all found feature points from the skeleton and the DCE algorithms. In a), no filter is used. In b) and c), the blob pairs filter is activated. Only in c), the RANSAC algorithm is activated. In all three cases, our method properly detects that the two people are not close to each other. Table 1 shows the results with the first type of ground truth.

1. Diagram of our approach. An illustrative example of “dynamics two-pose” model. Temporally-aligned extracted motion cycles form the training set (a). For each partial pose model a set of frames corresponding to the same time instance are selected (b, c). The images are preprocessed and the interest subregions are extracted. In the case of dynamics partial model, the spatial-temporal features are extracted using the detector from [7] (d). The partial models’ parameters are estimated independently.

5 fps. 2 Results The figure 4 shows the effects of applying the blob pairs filter and the epipolar geometrical constraint. It can be noted that the blob pairs filter helps to avoid coarse errors of pairing. While the RANSAC algorithm filters many outliers, it also gets rid of some inliers: we still have to find the right parameters for this algorithm. Anyway, many of the outliers are caused by the unreliable background subtraction. With a better background subtractor, we expect to get better results.

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