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» Detection and Tracking of Facial Features in Video Sequences
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111
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ECCV
2006
Springer
15 years 11 months ago
Real-Time Non-rigid Shape Recovery Via Active Appearance Models for Augmented Reality
One main challenge in Augmented Reality (AR) applications is to keep track of video objects with their movement, orientation, size, and position accurately. This poses a challengin...
Jianke Zhu, Steven C. H. Hoi, Michael R. Lyu
ICPR
2008
IEEE
15 years 11 months ago
Detecting global motion patterns in complex videos
Learning dominant motion patterns or activities from a video is an important surveillance problem, especially in crowded environments like markets, subways etc., where tracking of...
Min Hu, Mubarak Shah, Saad Ali
97
Voted
ICPR
2000
IEEE
15 years 2 months ago
Video Shot Segmentation and Classification
In this paper, we propose a novel technique for video shot segmentation and classification based on the Singular Value Decomposition (SVD). For the input video sequence, we create...
Yihong Gong, Xin Liu
TIP
2002
131views more  TIP 2002»
14 years 9 months ago
Optimal edge-based shape detection
Abstract--We propose an approach to accurately detecting twodimensional (2-D) shapes. The cross section of the shape boundary is modeled as a step function. We first derive a one-d...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
ACCV
2009
Springer
15 years 4 months ago
A Dynamic Programming Approach to Maximizing Tracks for Structure from Motion
We present a novel algorithm for improving the accuracy of structure from motion on video sequences. Its goal is to efficiently recover scene structure and camera pose by using dyn...
Jonathan Mooser, Suya You, Ulrich Neumann, Raphael...