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» Probabilistic human pose recovery from 2D images
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NIPS
2007
13 years 9 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
ICAPR
2001
Springer
13 years 12 months ago
Character Extraction from Interfering Background - Analysis of Double-Sided Handwritten Archival Documents
The sipping of ink through the pages of certain double-sided handwritten documents after long periods of storage poses a serious problem to human readers or OCR systems. This pape...
Chew Lim Tan, Ruini Cao, Qian Wang, Peiyi Shen
ECCV
2006
Springer
14 years 9 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
BMVC
2000
13 years 8 months ago
A Hierarchical Model of Dynamics for Tracking People with a Single Video Camera
We propose a novel hierarchical model of human dynamics for view independent tracking of the human body in monocular video sequences. The model is trained using real data from a c...
I. A. Karaulova, Peter M. Hall, A. David Marshall
FGR
2006
IEEE
148views Biometrics» more  FGR 2006»
14 years 1 months ago
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...
Chan-Su Lee, Ahmed M. Elgammal