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» Detection and Tracking of Facial Features in Video Sequences
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ICIP
2001
IEEE
15 years 11 months ago
Supervised segmentation and tracking of nonrigid objects using a "mixture of histograms" model
Segmentation and tracking of objects in video sequences is important for a number of applications. In the supervised variant, segmentation can be achieved by modelling the probabi...
Mark Everingham, Barry T. Thomas
MM
2005
ACM
154views Multimedia» more  MM 2005»
15 years 3 months ago
Determining structure in continuously recorded videos
In this paper, we present a scene detection framework on continuously recorded videos. Conventional temporal scene segmentation methods work for the videos composed of discrete sh...
Yun Zhai, Mubarak Shah
ICIP
2007
IEEE
15 years 11 months ago
Rotation Detection using the Curl Equation
Rotational types of motion can often be seen in video sequences. However, not a lot of research has been done to investigate rotational motion models for use in video. Analysing t...
Daire Lennon, Naomi Harte, Anil C. Kokaram
ICASSP
2008
IEEE
15 years 4 months ago
Detecting music in ambient audio by long-window autocorrelation
We address the problem of detecting music in the background of ambient real-world audio recordings such as the sound track of consumer-shot video. Such material may contain high l...
Keansub Lee, Daniel P. W. Ellis
CVPR
2011
IEEE
14 years 5 months ago
Branch and Track
We present a new paradigm for tracking objects in video in the presence of other similar objects. This branch-andtrack paradigm is also useful in the absence of motion, for the di...
Steve Gu, Carlo Tomasi