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<p>Page créée avec « The project consists in developing a framework for the systematic validation of tracking improvements. ==Methodology and Tasks== # choosing an optimization approach to o... »</p> <p><b>Nouvelle page</b></p><div>The project consists in developing a framework for the systematic validation of tracking improvements.<br /> <br /> ==Methodology and Tasks==<br /> <br /> # choosing an optimization approach to optimize tracking parameters based on tracking annotations (ie tracker training)<br /> # designing a cross-validation framework on a set of annotation videos, training on each video in turn and evaluating the tracking performance on the rest<br /> # testing the new framework with a few variations of an existing open source tracker (time permitting)<br /> <br /> ==Resources==<br /> <br /> * Traffic Intelligence project: tracker and tools to load trajectories, annotations, and compute tracking performance (Measurement of Tracking Accuracy) https://bitbucket.org/Nicolas/trafficintelligence/<br /> * NOMAD: derivative-free (black-box) optimization tool https://www.gerad.ca/nomad/Project/Home.html<br /> * Python [[PythonResources]]<br /> * Version control software, either Mercurial or Git, and repository on Bitbucket or Github [[Mercurial]]<br /> * Cross-validation https://en.wikipedia.org/wiki/Cross-validation_(statistics)<br /> * Annotated dataset: https://www.jpjodoin.com/urbantracker/dataset.html (other to come)<br /> * Previous work: <br /> # Dariush Ettehadieh's master's thesis http://publications.polymtl.ca/1661/<br /> # Paper on transferability http://n.saunier.free.fr/saunier/stock/morse16transferability.pdf</div>

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