Image-based three-dimensional human pose recovery by multiview locality-sensitive sparse retrieval
Image-based 3-D human pose recovery is usually conducted by retrieving relevant poses
with image features. However, it suffers from the high dimensionality of image features and …
with image features. However, it suffers from the high dimensionality of image features and …
Direct prediction of 3d body poses from motion compensated sequences
We propose an efficient approach to exploiting motion information from consecutive frames
of a video sequence to recover the 3D pose of people. Previous approaches typically …
of a video sequence to recover the 3D pose of people. Previous approaches typically …
Human pose estimation and activity recognition from multi-view videos: Comparative explorations of recent developments
This paper presents a review and comparative study of recent multi-view approaches for
human 3D pose estimation and activity recognition. We discuss the application domain of …
human 3D pose estimation and activity recognition. We discuss the application domain of …
Loose-limbed people: Estimating 3D human pose and motion using non-parametric belief propagation
We formulate the problem of 3D human pose estimation and tracking as one of inference in
a graphical model. Unlike traditional kinematic tree representations, our model of the body is …
a graphical model. Unlike traditional kinematic tree representations, our model of the body is …
Tensor learning for regression
In this paper, we exploit the advantages of tensorial representations and propose several
tensor learning models for regression. The model is based on the canonical/parallel-factor …
tensor learning models for regression. The model is based on the canonical/parallel-factor …
Guest Editorial: State of the Art in Image-and Video-Based Human Pose and Motion Estimation.
The article reflects on human pose estimation and tracking issues in the world of computer
vision. It notes that generative methods that use a synthesize-and-test approach seem to be …
vision. It notes that generative methods that use a synthesize-and-test approach seem to be …
Discriminative human action recognition in the learned hierarchical manifold space
In this paper, we propose a hierarchical discriminative approach for human action
recognition. It consists of feature extraction with mutual motion pattern analysis and …
recognition. It consists of feature extraction with mutual motion pattern analysis and …
Markerless motion capture systems for tracking of persons in forensic biomechanics: an overview
SXM Yang, MS Christiansen, PK Larsen… - Computer Methods in …, 2014 - Taylor & Francis
Markerless motion capture is a pronounced topic in computer vision. In forensic science,
markerless motion capture can be an important tool for identification through gait analysis …
markerless motion capture can be an important tool for identification through gait analysis …
Descriptors for image-based fingerprint matchers
This paper focuses on the use of image-based techniques in fingerprint verification. A
detailed review of the existing literature is provided by classifying existing methods on the …
detailed review of the existing literature is provided by classifying existing methods on the …
Discriminative learning of visual words for 3D human pose estimation
This paper addresses the problem of recovering 3D human pose from a single monocular
image, using a discriminative bag-of-words approach. In previous work, the visual words are …
image, using a discriminative bag-of-words approach. In previous work, the visual words are …