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» Activity Modeling Using Event Probability Sequences
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FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
14 years 4 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
WCRE
2007
IEEE
14 years 4 months ago
Parametric Process Model Inference
Legacy applications can be difficult and time-consuming to understand and update due to the lack of modern abstraction mechanisms in legacy languages, as well as the gradual dete...
Saurabh Sinha, G. Ramalingam, Raghavan Komondoor
ICPR
2004
IEEE
14 years 11 months ago
Complex Human Activity Recognition for Monitoring Wide Outdoor Environments
The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...
PAMI
2006
186views more  PAMI 2006»
13 years 10 months ago
Dynamic Shape and Appearance Models
We propose a model of the joint variation of shape and appearance of portions of an image sequence. The model is conditionally linear, and can be thought of as an extension of acti...
Gianfranco Doretto, Stefano Soatto
CVPR
1998
IEEE
15 years 3 days ago
Video Scene Segmentation via Continuous Video Coherence
In extended video sequences, individual frames are grouped into shots which are defined as a sequence taken by a single camera, and related shots are grouped into scenes which are...
John R. Kender, Boon-Lock Yeo