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» Automatic Non-rigid 3D Modeling from Video
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CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
16 years 6 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge
CODES
2005
IEEE
15 years 5 months ago
An architectural level design methodology for embedded face detection
Face detection and recognition research has attracted great attention in recent years. Automatic face detection has great potential in a large array of application areas, includin...
Vida Kianzad, Sankalita Saha, Jason Schlessman, Ga...
CGF
2007
139views more  CGF 2007»
14 years 11 months ago
Online Motion Capture Marker Labeling for Multiple Interacting Articulated Targets
In this paper, we propose an online motion capture marker labeling approach for multiple interacting articulated targets. Given hundreds of unlabeled motion capture markers from m...
Qian Yu, Qing Li, Zhigang Deng
MLMI
2004
Springer
15 years 5 months ago
A Hierarchical System for Recognition, Tracking and Pose Estimation
This paper presents a new system for recognition, tracking and pose estimation of people in video sequences. It is based on the wavelet transform from the upper body part and uses ...
Philipp Zehnder, Esther Koller-Meier, Luc J. Van G...
CVPR
2011
IEEE
14 years 7 months ago
Recognizing Human Actions by Attributes
In this paper we explore the idea of using high-level semantic concepts, also called attributes, to represent human actions from videos and argue that attributes enable the constr...
Jingen Liu