Abstract
In this paper we present an approach for automatically detecting and tracking humans in very long video sequences. The detection is based on background subtraction using a multi-mode Codeword method. We enhance this method both in terms of representation and in terms of automatically updating the background allowing for handling gradual and rapid changes. Tracking is conducted by building appearance-based models and matching these over time. Tests show promising detection and tracking results in a ten hour video sequence.
| Original language | English |
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| Title of host publication | Advances in Visual Computing |
| Number of pages | 10 |
| Volume | Springer |
| Publisher | Springer |
| Publication date | 2006 |
| Pages | 60-69 |
| ISBN (Print) | 9783540486282 |
| Publication status | Published - 2006 |
| Event | 2nd International Symposium on Visual Computing - Lake Tahoe, United States Duration: 6 Nov 2006 → 8 Nov 2006 Conference number: 2 |
Conference
| Conference | 2nd International Symposium on Visual Computing |
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| Number | 2 |
| Country/Territory | United States |
| City | Lake Tahoe |
| Period | 06/11/2006 → 08/11/2006 |
| Series | Lecture Notes in Computer Science |
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| Number | 1 |
| Volume | 4291/2006 |
| ISSN | 0302-9743 |