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ICCV
2009
IEEE
8 years 8 months ago
Efficient human pose estimation via parsing a tree structure based human model
Human pose estimation is the task of determining the states (location, orientation and scale) of each body part. It is important for many vision understanding applications, e.g. v...
Xiaoqin Zhang, Changcheng Li, Xiaofeng Tong, Weimi...
ICCV
2009
IEEE
8 years 8 months ago
Quasi-periodic event analysis for social game retrieval
A new problem of retrieving social games from unstructured videos is proposed. Social games are characterized by repetitions (with variations) of alternating turns between two pla...
Ping Wang, Gregory D. Abowd, James M. Rehg
ICCV
2009
IEEE
8 years 8 months ago
Non-iterative approach for fast and accurate vanishing point detection
We present an algorithm that quickly and accurately estimates vanishing points in images of man-made environments. Contrary to previously proposed solutions, ours is neither itera...
Jean-Philippe Tardif
ICCV
2009
IEEE
8 years 8 months ago
Face alignment through subspace constrained mean-shifts
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of ...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
ICCV
2009
IEEE
8 years 8 months ago
Incremental action recognition using feature-tree
Action recognition methods suffer from many drawbacks in practice, which include (1)the inability to cope with incremental recognition problems; (2)the requirement of an intensive...
Kishore K. Reddy, Jingen Liu, Mubarak Shah
ICCV
2009
IEEE
8 years 8 months ago
Probabilistic occlusion boundary detection on spatio-temporal lattices
In this paper, we present an algorithm for occlusion boundary detection. The main contribution is a probabilistic detection framework defined on spatio-temporal lattices, which en...
Mehmet Emre Sargin, Luca Bertelli, Bangalore S. Ma...
ICCV
2009
IEEE
8 years 8 months ago
Segmentation, ordering and multi-object tracking using graphical models
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
Chaohui Wang, Martin de La Gorce, Nikos Paragios
ICCV
2009
IEEE
8 years 8 months ago
Learning with dynamic group sparsity
This paper investigates a new learning formulation called dynamic group sparsity. It is a natural extension of the standard sparsity concept in compressive sensing, and is motivat...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas
ICCV
2009
IEEE
8 years 8 months ago
Realtime background subtraction from dynamic scenes
This paper examines the problem of moving object detection. More precisely, it addresses the difficult scenarios where background scene textures in the video might change over tim...
Li Cheng, Minglun Gong
ICCV
2009
IEEE
8 years 8 months ago
Local Trinary Patterns for human action recognition
We present a novel action recognition method which is based on combining the effective description properties of Local Binary Patterns with the appearance invariance and adaptabil...
Lahav Yeffet, Lior Wolf
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