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Video Recording

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Multimodal Deep Autoencoder for Human Pose Recovery.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Video-based human pose recovery is usually conducted by retrieving relevant poses using image features. In the retrieving process, the mapping between 2D images and 3D poses is assumed to be linear in most of the traditional methods. However, their r...

Labeled Graph Kernel for Behavior Analysis.

IEEE transactions on pattern analysis and machine intelligence
Automatic behavior analysis from video is a major topic in many areas of research, including computer vision, multimedia, robotics, biology, cognitive science, social psychology, psychiatry, and linguistics. Two major problems are of interest when an...

Assessing engagement in people with dementia: a new approach to assessment using video analysis.

Archives of psychiatric nursing
The study of engagement in people with dementia is important to determine the effectiveness of interventions that aim to promote meaningful activity. However, the assessment of engagement for people with dementia in relation to our current work that ...

Automated measurement of mouse social behaviors using depth sensing, video tracking, and machine learning.

Proceedings of the National Academy of Sciences of the United States of America
A lack of automated, quantitative, and accurate assessment of social behaviors in mammalian animal models has limited progress toward understanding mechanisms underlying social interactions and their disorders such as autism. Here we present a new in...

Scalable gastroscopic video summarization via similar-inhibition dictionary selection.

Artificial intelligence in medicine
OBJECTIVE: This paper aims at developing an automated gastroscopic video summarization algorithm to assist clinicians to more effectively go through the abnormal contents of the video.

Incremental multi-class semi-supervised clustering regularized by Kalman filtering.

Neural networks : the official journal of the International Neural Network Society
This paper introduces an on-line semi-supervised learning algorithm formulated as a regularized kernel spectral clustering (KSC) approach. We consider the case where new data arrive sequentially but only a small fraction of it is labeled. The availab...

Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Person re-identification aims to match people across non-overlapping camera views, which is an important but challenging task in video surveillance. In order to obtain a robust metric for matching, metric learning has been introduced recently. Most e...

Reducing the incidence of oxyhaemoglobin desaturation during rapid sequence intubation in a paediatric emergency department.

BMJ quality & safety
OBJECTIVES: Rapid sequence intubation (RSI) is the standard for definitive airway management in emergency medicine. In a video-based study of RSI in a paediatric emergency department (ED), we reported a high degree of process variation and frequent a...

Unsupervised lineage-based characterization of primate precursors reveals high proliferative and morphological diversity in the OSVZ.

The Journal of comparative neurology
Generation of the primate cortex is characterized by the diversity of cortical precursors and the complexity of their lineage relationships. Recent studies have reported miscellaneous precursor types based on observer classification of cell biology f...