Abstract
The effectiveness of the conventional Mean Shift tracking algorithm diminishes for fast moving targets and complete occlusion. In this paper an improved Mean Shift algorithm comprising a fast failure recovery strategy that aims to deal with randomly moving targets and complete occlusion as encountered in crowded scenes is presented. Experimental results show that after complete occlusion or target loss, the new algorithm can effectively recover and continue to successfully track targets in complex scenarios.
| Original language | English |
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| Pages | 1-6 |
| Number of pages | 6 |
| Publication status | Published - 2011 |
| Event | 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance - Klagenfurt, Austria Duration: 30 Aug 2011 → 2 Sep 2011 |
Conference
| Conference | 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance |
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| Country/Territory | Austria |
| City | Klagenfurt |
| Period | 30/08/11 → 2/09/11 |
Keywords
- mean shift tracker
- fast failure recovery strategy
- track targets