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| Conference/Proceedings | 9th IEEE International Conference on Advanced Video and Signal-Based Surveillance |
| Start date | 18.09.2012 |
| End date | 21.09.2012 |
| Address | Beijing, China |
| Author(s) | Michael Pätzold, Rubén Heras Evangelio, Thomas Sikora |
| Title | Boosting Multi-Hypothesis Tracking by means of Instance-specific Models |
| Abstract | In this paper we present a visual person tracking-by-detection system based on on-line-learned instance-specific information along with the kinematic relation of measurements provided by a generic person-category detector. The proposed system is able to initialize tracks on individual persons and start learning their appearance even in crowded situations and does not require that a person enters the scene separately. For that purpose we integrate the process of learning instance-specific models into a standard MHT-framework. The capability of the system to eliminate detections-to-object association ambiguities occurring from missed detections or false ones is demonstrated by experiments for counting and tracking applications using very long video sequences on challenging outdoor scenarios. |
| Key words | multimedia analysis, Multi Object Tracking MHT Adaboost |
| Note | ISBN: 978-1-4673-2499-1 |
| File | 1368Pätzold2012.pdf |
| DOI | 10.1109/AVSS.2012.18 |
| URL | http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6328050&contentType=Conference+Publications&refinements%3D4284309875%2C4293333990%26searchField%3DSearch_All%26queryText%3Davss+2012 |
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