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Z.: Exemplar-based human action pose correction

by Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, Zhuowen Tu - IEEE Trans. Cybernetics , 2014
"... The launch of Xbox Kinect has built a very successful computer vision product and made a big impact to the gam-ing industry; this sheds lights onto a wide variety of poten-tial applications related to action recognition. The accurate estimation of human poses from the depth image is univer-sally a c ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
critical step. However, existing pose estimation sys-tems exhibit failures when faced severe occlusion. In this paper, we propose an exemplar-based method to learn to correct the initially estimated poses. We learn an inhomo-geneous systematic bias by leveraging the exemplar infor-mation within specific

IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICSŁPART B: CYBERNETICS 1 Exemplar-Based Human Action Pose Correction

by Wei Shen, Ke Deng, Xiang Bai, Tommer Leyv, Baining Guo, Zhuowen Tu Member
"... Abstract—The launch of Xbox Kinect has built a very suc-cessful computer vision product and made a big impact to the gaming industry; this sheds lights onto a wide variety of potential applications related to action recognition. The accurate estimation of human poses from the depth image is universa ..."
Abstract - Add to MetaCart
is universally a critical step. However, existing pose estimation systems exhibit failures when faced severe occlusion. In this paper, we propose an exemplar-based method to learn to correct the initially estimated poses. We learn an inhomogeneous systematic bias by leveraging the exemplar information within

Recognizing action at a distance

by Alexei A. Efros, Alexander C. Berg, Greg Mori, Jitendra Malik - PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION , 2003
"... Our goal is to recognize human actions at a distance, at resolutions where a whole person may be, say, 30 pixels tall. We introduce a novel motion descriptor based on optical flow measurements in a spatio-temporal volume for each stabilized human figure, and an associated similarity measure to be us ..."
Abstract - Cited by 504 (20 self) - Add to MetaCart
Our goal is to recognize human actions at a distance, at resolutions where a whole person may be, say, 30 pixels tall. We introduce a novel motion descriptor based on optical flow measurements in a spatio-temporal volume for each stabilized human figure, and an associated similarity measure

The Vocabulary Problem in Human-System Communication

by G. W. Furnas, T. K. Landauer, L. M. Gomez, S. T. Dumais - COMMUNICATIONS OF THE ACM , 1987
"... In almost all computer applications, users must enter correct words for the desired objects or actions. For success without extensive training, or in first-tries for new targets, the system must recognize terms that will be chosen spontaneously. We studied spontaneous word choice for objects in five ..."
Abstract - Cited by 562 (8 self) - Add to MetaCart
In almost all computer applications, users must enter correct words for the desired objects or actions. For success without extensive training, or in first-tries for new targets, the system must recognize terms that will be chosen spontaneously. We studied spontaneous word choice for objects

Action Recognition using Exemplar-based Embedding

by Daniel Weinl, Edmond Boyer
"... In this paper, we address the problem of representing human actions using visual cues for the purpose of learning and recognition. Traditional approaches model actions as space-time representations which explicitly or implicitly encode the dynamics of an action through temporal dependencies. In cont ..."
Abstract - Cited by 42 (1 self) - Add to MetaCart
-invariant representation that drastically simplifies learning and recognition by removing time related information such as speed or length of an action. The proposed representation is equivalent to embedding actions into a space defined by distances to key-pose exemplars. We show how to build such embedding spaces of low

3-D model-based tracking of humans in action: a multi-view approach

by D. M. Gavrila, L. S. Davis , 1996
"... We present a vision system for the 3-D model-based tracking of unconstrained human movement. Using image sequences acquired simultaneously from multiple views, we recover the 3-D body pose at each time instant without the use of markers. The pose recovery problem is formulated as a search problem ..."
Abstract - Cited by 355 (9 self) - Add to MetaCart
We present a vision system for the 3-D model-based tracking of unconstrained human movement. Using image sequences acquired simultaneously from multiple views, we recover the 3-D body pose at each time instant without the use of markers. The pose recovery problem is formulated as a search problem

Realistic Modeling for Facial Animation

by Yuencheng Lee , Demetri Terzopoulos, Keith Waters , 1995
"... A major unsolved problem in computer graphics is the construction and animation of realistic human facial models. Traditionally, facial models have been built painstakingly by manual digitization and animated by ad hoc parametrically controlled facial mesh deformations or kinematic approximation of ..."
Abstract - Cited by 362 (14 self) - Add to MetaCart
A major unsolved problem in computer graphics is the construction and animation of realistic human facial models. Traditionally, facial models have been built painstakingly by manual digitization and animated by ad hoc parametrically controlled facial mesh deformations or kinematic approximation

Progressive search space reduction for human pose estimation

by Vittorio Ferrari, Manuel Marín-jiménez, Andrew Zisserman - In CVPR , 2008
"... The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is uncontrolled and extremely challenging. We propose an approach that progressively reduces the search space for body parts, to greatly improve the chan ..."
Abstract - Cited by 226 (30 self) - Add to MetaCart
The objective of this paper is to estimate 2D human pose as a spatial configuration of body parts in TV and movie video shots. Such video material is uncontrolled and extremely challenging. We propose an approach that progressively reduces the search space for body parts, to greatly improve

HumanEva: Synchronized video and motion capture dataset for evaluation of articulated human motion

by Leonid Sigal, Alexandru O. Balan, Michael J. Black , 2006
"... While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing methods to establish the current state of the art. We present data obtained using a hardware system that is able to capture s ..."
Abstract - Cited by 266 (15 self) - Add to MetaCart
While research on articulated human motion and pose estimation has progressed rapidly in the last few years, there has been no systematic quantitative evaluation of competing methods to establish the current state of the art. We present data obtained using a hardware system that is able to capture

Viewpoint invariant exemplar-based 3D human tracking

by Eng-jon Ong, Adrian Hilton, Antonio S. Micilotta - Comput. Vision Image Understand , 2006
"... This paper proposes a clustered exemplar-based model for performing viewpoint invariant tracking of the 3D motion of a human subject from a single camera. Each exemplar is associated with multiple view visual information of a person and the corresponding 3D skeletal pose. The visual information take ..."
Abstract - Cited by 13 (0 self) - Add to MetaCart
This paper proposes a clustered exemplar-based model for performing viewpoint invariant tracking of the 3D motion of a human subject from a single camera. Each exemplar is associated with multiple view visual information of a person and the corresponding 3D skeletal pose. The visual information
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