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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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L2-Lx: Compositional hierarchy

Layers L2 and above represent a compositional hierarchy, where, layer-by-layer, compositions of parts from the lower layers are formed.

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L0: Low level motion extraction

A pretty basic procedure is used to extract motion from the video at the lowest layer of the hierarchy. See the two videos that illustrate how it works.

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Robowood - activity recognition dataset

There exist several relatively demanding data sets for detection and recognition of human activities (for example Holywood2 and UCF Sports). However with these data sets, it is extremely difficult to separate motion from the other information, which is available in the video.

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How good is the extracted motion?

Our motion extraction mechanism is pretty basic. So, how does it visually compare to state-of-the-art optical flow algorithm?

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Fun with the robot

To capture our new dataset, we used the humanoid robot HOAP3. The robot is 60 cm tall and weights 9 kg. On the robot there are two cameras that provide stereo vision, and a distance sensors. With its 28 degrees of freedom it is able to perform a wide variety of movements - we programmed it to perform a large number of motions that resemble martial arts.

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