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| <title>Camera Motion and Surrounding Scene Appearance as Context for Action Recognition</title> | ||
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| <h1>Camera Motion and Surrounding Scene Appearance as Context for Action Recognition</h1> | ||
| <p id="authors"> | ||
| <a href="http://www.cabaf.net">Fabian Caba Heilbron</a> | ||
| <a href="http://www.alithabet.com">Ali Thabet</a> | ||
| <a href="http://www.niebles.net">Juan Carlos Niebles</a> | ||
| <a href="http://www.bernardghanem.com">Bernard Ghanem</a><br> | ||
| KAUST, Universidad del Norte | ||
| </p> | ||
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| <p id="conference"> | ||
| <a href="http://www.accv2014.org/">ACCV 2014</a> | ||
| </p> | ||
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| <h2> Summary </h2> | ||
| <p>This work introduces a framework for recognizing human actions in videos by incorporating | ||
| a new set of visual cues that represent the context of the action. We develop a weak | ||
| foreground-background segmentation approach in order to robustly extract not only foreground | ||
| features that are focused on the actors, but also global camera motion and contextual scene | ||
| information. Using dense point trajectories, our approach separates and describes the | ||
| foreground motion from the background, represents the appearance of the extracted static | ||
| background, and encodes the global camera motion that interestingly is shown to be discriminative | ||
| for certain action classes. Below we show an example of our foreground-background segmentation:</p> | ||
| <img src="img/actioncue.jpg"></img> | ||
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| <td style="width:350px;"> | ||
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| <h2>Resources</h2> | ||
| <span>Download our ACCV 2014 <strong> <a href="paper/actioncue.pdf">Paper</a>. </strong></br></span> | ||
| <span>Check out our <strong> <a href="poster/actioncue.pdf">Poster presentation!</a> </strong></br></span> | ||
| <span><strong>Code</strong> can be cloned from <strong><a href="https://github.com/cabaf/actioncue.git">Here!</a></strong></span> | ||
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| <td style="width:550px;"> | ||
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| <h2>Acknowledgment</h2> | ||
| <p> <small>Research reported in this publication was supported by | ||
| competitive research funding from King Abdullah University of Science and | ||
| Technology (KAUST). F.C.H. was also supported by a COLCIENCIAS Young | ||
| Scientist and Innovator Fellowship. J.C.N. is supported by a Microsoft Research | ||
| Faculty Fellowship.</small><p> | ||
| </td> | ||
| </tr> | ||
| </table> | ||
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| <div class="content" id="references"> | ||
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| <h2>References</h2> | ||
| <ol> | ||
| <small><li>H. Wang and C. Schmid. Action Recognition with Improved Trajectories. In ICCV, 2013.</li></small> | ||
| </ol> | ||
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| <p>If you use any of our materials in your research, please cite our ACCV 2014 paper:</p> | ||
| <p>F.C. Heilbron, A. Thabet, J.C. Niebles and B. Ghanem. Camera Motion and Surrounding Scene Appearance as Context for Action Recognition. In ACCV, 2014.</p> | ||
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| <code> | ||
| @article{caba2014cues,<br> | ||
| title={{Camera Motion and Surrounding Scene Appearance as Context for Action Recognition}},<br> | ||
| author={Heilbron, F.C. and Thabet, A. and Niebles, J.C. and Ghanem, B.},<br> | ||
| journal={ACCV},<br> | ||
| year={2014}<br> | ||
| } | ||
| </code> | ||
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| </div> | ||
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| </html> | ||
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