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» Tracking Motion-Blurred Targets in Video
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FGR
2008
IEEE
264views Biometrics» more  FGR 2008»
13 years 10 months ago
Large scale learning and recognition of faces in web videos
The phenomenal growth of video on the web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/info...
Ming Zhao 0003, Jay Yagnik, Hartwig Adam, David Ba...
CVPR
2011
IEEE
13 years 4 months ago
Multiobject Tracking as Maximum Weight Independent Set
This paper addresses the problem of simultaneous tracking of multiple targets in a video. We first apply object detectors to every video frame. Pairs of detection responses from ...
William Brendel, Mohamed Amer, Sinisa Todorovic
CVPR
2010
IEEE
14 years 4 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino
IROS
2007
IEEE
162views Robotics» more  IROS 2007»
14 years 2 months ago
Where is your dive buddy: tracking humans underwater using spatio-temporal features
— We present an algorithm for underwater robots to track mobile targets, and specifically human divers, by detecting periodic motion. Periodic motion is typically associated wit...
Junaed Sattar, Gregory Dudek
ICCV
2003
IEEE
14 years 10 months ago
Maintaining Multi-Modality through Mixture Tracking
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
Arnaud Doucet, Jaco Vermaak, Patrick Pérez