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 …

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 …

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 …

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 …

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 …

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 …

In this paper, we propose a hierarchical discriminative approach for human action
recognition. It consists of feature extraction with mutual motion pattern analysis and …

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 …

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 …

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 …