Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Bahman Yari Saeed Khanloo"'
Autor:
Ze-Nian Li, Bahman Yari Saeed Khanloo, Ferdinand Stefanus, Tarek Sayed, Greg Mori, Mani Ranjbar, Nicolas Saunier
Publikováno v:
Computer Vision and Image Understanding. 116:676-689
We introduce MMTrack (max-margin tracker), a single-target tracker that linearly combines constant and adaptive appearance features. We frame offline single-camera tracking as a structured output prediction task where the goal is to find a sequence o
Autor:
Simon Chun-Yin Li, Nicolas Saunier, Greg Mori, Mohamed H. Zaki, Bahman Yari Saeed Khanloo, Tarek Sayed, Ferdinand Stefanus
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2299:121-127
New urban planning concepts are being redefined to emphasize walkability (a measure of how walker-friendly an area is) and to accommodate the pedestrian as a key road user. However, the availability of reliable information on pedestrian traffic remai
Autor:
Ferdinand Stefanus, Greg Mori, Ze-Nian Li, Tarek Sayed, Mani Ranjbar, Nicolas Saunier, Bahman Yari Saeed Khanloo
Publikováno v:
CRV
In this paper, we introduce MMTrack, a hybrid single pedestrian tracking algorithm that puts together the advantages of descriptive and discriminative approaches for tracking. Specifically, we combine the idea of cluster-based appearance modeling and
Publikováno v:
Studies in Computational Intelligence ISBN: 9783642010903
Foundations of Computational Intelligence (6)
Foundations of Computational Intelligence (6)
During recent years, numerous kernel based clustering algorithms have been proposed. Support Vector Machines, as standard tools for classification and clustering, have played an important role in this area. Information retrieval from the data in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b5f3b4d50f4690efefb5eb08994d1cf
https://doi.org/10.1007/978-3-642-01091-0_10
https://doi.org/10.1007/978-3-642-01091-0_10