Video jelentése
Mi a probléma?
- Szexuális tartalom
- Erőszakos tartalom
- Sértő tartalom
- Gyermekbántalmazás
- Szerzői jogaimat sértő tartalom
- Egyéb jogaimat sértő tartalom (pl.képmásommal való visszaélés)
- Szexuális visszaélés, zaklatás
Ha gondolod, add meg e-mail címed, ahol fel tudjuk venni veled a kapcsolatot.
Jelentésed rögzítettük. Hamarosan intézkedünk.
Hozzáadás listához
Új lista
2013. jún. 19.
Harry Potter's Marauder's Map: Localizing and Tracking Multiple Persons-of-Interest by Nonnegative Discretization
http://www.cs.cmu.edu/~iyu/cvpr13.html
Shoou-I Yu, Yi Yang, Alexander Hauptmann. Carnegie Mellon University.
IEEE CVPR 2013
"I solemnly swear I am up to no good." Harry Potter and the Prisoner of Azkaban.
A device just like Harry Potter's Marauder's Map, which pinpoints the location of each person-of-interest at all times, provides invaluable information for analysis of surveillance
videos. To make this device real, a system would be required to perform robust person localization and tracking in real world surveillance scenarios, especially for complex indoor environments with many walls causing occlusion and long corridors with sparse surveillance camera coverage. We propose a tracking-by-detection approach with nonnegative discretization to tackle this problem.
Given a set of person detection outputs, our framework takes advantage of all important cues such as color, person detection, face recognition and non-background information to perform tracking. Local learning approaches are used to uncover the manifold structure in the appearance space with spatio-temporal constraints. Nonnegative discretization is used to enforce the mutual exclusion constraint, which guarantees a person detection output to only belong to exactly one individual. Experiments show that our algorithm performs robust localization and tracking of persons-of-interest not only in outdoor scenes, but also in a complex indoor real-world nursing home environment.
http://www.cs.cmu.edu/~iyu/cvpr13.html
Shoou-I Yu, Yi Yang, Alexander Hauptmann. Carnegie Mellon University.
IEEE CVPR 2013
"I solemnly swear I am up to no good." Harry Potter and the Prisoner of Azkaban.
A device just like Harry Potter's Marauder's Map, which pinpoints the location of each person-of-interest at all times, provides invaluable information for analysis of surveillance
videos. To make this device real, a system would be required to perform robust person localization and tracking in real world surveillance scenarios, especially for complex indoor environments with many walls causing occlusion and long corridors with sparse surveillance camera coverage. We propose a tracking-by-detection approach with nonnegative discretization to tackle this problem.
Given a set of person detection outputs, our framework takes advantage of all important cues such as color, person detection, face recognition and non-background information to perform tracking. Local learning approaches are used to uncover the manifold structure in the appearance space with spatio-temporal constraints. Nonnegative discretization is used to enforce the mutual exclusion constraint, which guarantees a person detection output to only belong to exactly one individual. Experiments show that our algorithm performs robust localization and tracking of persons-of-interest not only in outdoor scenes, but also in a complex indoor real-world nursing home environment.
Hozzászólások | 0
A hozzászóláshoz jelentkezz be!
A felhasználó további videói
Hasonló videók