Conference papers
Online tracking of multiple objects using WiSARD
Abstract : This paper evaluates the WiSARD weightless model as a classification system on the problem of tracking multiple objects in real- time. Exploring the structure of this model, the proposed solution applies a re-learning stage in order to avoid interferences caused by background noise or variations in the target shape. Once the tracker finds a target at the first time, it applies only local searches around the neighborhood in order to have fast response. This approach is evaluated through some experiments on real-world video data.
Cited literature [7 references]
https://hal-enac.archives-ouvertes.fr/hal-01059678
Contributor : Céline Smith <>
Submitted on : Monday, September 1, 2014 - 3:39:58 PM
Last modification on : Monday, May 18, 2020 - 4:50:33 PM
Document(s) archivé(s) le : Tuesday, December 2, 2014 - 10:31:47 AM
Contributor : Céline Smith <>
Submitted on : Monday, September 1, 2014 - 3:39:58 PM
Last modification on : Monday, May 18, 2020 - 4:50:33 PM
Document(s) archivé(s) le : Tuesday, December 2, 2014 - 10:31:47 AM
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Mora-Camino_ESANN2014.pdf
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