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» Tracking objects in video using motion and appearance models
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WACV
2005
IEEE
14 years 2 months ago
Periodic Motion Detection and Estimation via Space-Time Sampling
A novel technique to detect and localize periodic movements in video is presented. The distinctive feature of the technique is that it requires neither feature tracking nor object...
Ashwin Thangali, Stan Sclaroff
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
14 years 3 months ago
Evaluating Error Functions for Robust Active Appearance Models
Active appearance models (AAMs) are generative parametric models commonly used to track faces in video sequences. A limitation of AAMs is they are not robust to occlusion. A recen...
Barry-John Theobald, Iain Matthews, Simon Baker
CIVR
2009
Springer
257views Image Analysis» more  CIVR 2009»
14 years 3 months ago
Trajectory-based handball video understanding
This paper presents a content-based approach for understanding handball videos. Tracked players are characterized by their 2D trajectories in the court plane. The trajectories and...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
PAMI
2007
197views more  PAMI 2007»
13 years 8 months ago
A Lattice-Based MRF Model for Dynamic Near-Regular Texture Tracking
—A near-regular texture (NRT) is a geometric and photometric deformation from its regular origin—a congruent wallpaper pattern formed by 2D translations of a single tile. A dyn...
Wen-Chieh Lin, Yanxi Liu
VMV
2008
307views Visualization» more  VMV 2008»
13 years 10 months ago
2D Video Editing for 3D Effects
We present a semi-interactive system for advanced video processing and editing. The basic idea is to partially recover planar regions in object space and to exploit this minimal p...
Darko Pavic, Volker Schönefeld, Lars Krecklau...