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Activity recognition results on UCF Sports and Holywood2

Table above shows the results, obtained on UCF Sports dataset (http://crcv.ucf.edu/data/UCF_Sports_Action.php). We report recognition rate with respect to the number...


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Computational efficiency and parallel implementation

The developed algorithms are computationally effective and the compositional processing pipeline is well-suited for implementation on massively parallel architectures. Many...


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Motion hierarchy structure

Our model is comprised of three processing stages, as shown in the Figure. The task of the lowest stage (layers...


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Server crash

After experiencing a total server failure, we are back online. We apologize for the inconvenience - we are still in...


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L1: motion features

Layer L1 provides an input to the compositional hierarchy. Motion, obtained in L0 is encoded using a small dictionary.


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Indirect impact of the project for society

Successful realization of the project's objectives will have considerable importance for the promotion of the country, access to foreign skills, participation in international division of labor and education of qualified cadre. Our research team has already developed a specialized system for motion analysis in sports, which is up to date the only non­commercial system based on visual information and is used extensively for research and teaching purposes at the Faculty of Sport University in Ljubljana and the Ruhr­Universität Bochum, Germany. Preliminary work, which is the basis for the proposed project, has already received the recognition at the international scientific meetings and in the form of invited lectures. An example of the research team's general recognition are the review papers from the field of motion analysis in sports (eg, [Barris2008]), who attribute a significant contribution to the development of this field to our research group. Thus it can be reasonably expected that the anticipated results will not only contribute to the promotion of research groups, but will have a broader impact, including the promotion of the country. Education of cadre is multi­layered, ranging from the transfer of scientific advances into the teaching process, to training young researchers and popularization of the scientific achievements in the form of contributions to the institutions for the popularization of science. Examples are the House of Experiments and the Technical Museum of Slovenia, where the group annually contributes in form of the demonstrations of the developed algorithms.

Based on the results we have achieved so far in the modeling, visual learning and inference of the object categories, a spin­off company Suplea Ltd. was founded, to transfer the technology to specific commercial applications. The method has attracted attention in the world and the research team has been invited as a partner in a major U.S. project, led by Teledyne and company­funded agency DARPA (VICOS is the only non­North American partner in the project).

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