Titlebook: Computer Vision - ECCV 2004; 8th European Confere Tomá? Pajdla,Ji?í Matas Conference proceedings 2004 Springer-Verlag Berlin Heidelberg 200

妨礙

CRACY

愚笨

集合

Tracking Articulated Motion Using a Mixture of Autoregressive Models The method is used to track activities including walking, running, ., using a planar 2D body model. Its effectiveness is demonstrated by its success in tracking complicated motions like turns, without any key frames or 3D information.

錯事

藕床生厭倦

可以任性

Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models consists in pre-selecting the video segments of potential interest, and then in recognizing the specified events among the pre-selected segments, the recognition being stated as a classification problem. We report accurate results on several sports videos.

inspired

0302-9743 CCV 2002, the response to our call for papers was almost equally strong – 555 papers were submitted. We accepted 41 papers for oral and 149 papers for poster presentation. Several innovations were introduced into the review process. First, the n- ber of program committee members was increased to red

使出神

Peter Geschiere,Francio Guadeloupelearning process. We show how the tree merging process can be posed as the minimisation of an information theoretic minimum descriptor length criterion. We illustrate the utility of the resulting algorithm on the problem of classifying 2D shapes using a shock graph representation.

Indict

Management and Cultural Differenceross motion, and then a spline is used to refine the fit. We present experimental results for dense optical flow estimation on image pairs with large inter-frame disparity that are beyond the scope of existing approaches.