Content-based management of human motion data: survey and challenges
Digitization of human motion using skeleton representations offers exciting possibilities for a
large number of applications but, at the same time, requires innovative techniques for their …
large number of applications but, at the same time, requires innovative techniques for their …
LSTM-based real-time action detection and prediction in human motion streams
Motion capture data digitally represent human movements by sequences of 3D skeleton
configurations. Such spatio-temporal data, often recorded in the stream-based nature, need …
configurations. Such spatio-temporal data, often recorded in the stream-based nature, need …
Learned metric index—proposition of learned indexing for unstructured data
The main paradigm of similarity searching in metric spaces has remained mostly unchanged
for decades—data objects are organized into a hierarchical structure according to their …
for decades—data objects are organized into a hierarchical structure according to their …
Understanding the gap between 2D and 3D skeleton-based action recognition
Large volumes of RGB video data are recorded and processed every day. One of the
embedded data modality within these videos is the information about human motions. Up to …
embedded data modality within these videos is the information about human motions. Up to …
DeepSegment: Segmentation of motion capture data using deep convolutional neural network
H Yasin, S Hayat - Image and Vision Computing, 2021 - Elsevier
In this paper, we propose a novel framework to segment 3D human motion capture data into
distinct behaviors. First, in preprocessing, we build a normalized pose space by eliminating …
distinct behaviors. First, in preprocessing, we build a normalized pose space by eliminating …
Similarity search in 3D human motion data
Motion capture technologies can digitize human movements into a discrete sequence of 3D
skeletons. Such spatio-temporal data have a great application potential in many fields …
skeletons. Such spatio-temporal data have a great application potential in many fields …
Understanding the Motion Adaption of Machine Using Long Short–Term Memory Networks for voiceless Virtual Assistant
In recent years, the study of computer vision and pattern recognition has seen a significant
increase in the popularity of video-based human action recognition as a research topic …
increase in the popularity of video-based human action recognition as a research topic …
Benchmarking search and annotation in continuous human skeleton sequences
Motion capture data are digital representations of human movements in form of 3D
trajectories of multiple body joints. To understand the captured motions, similarity-based …
trajectories of multiple body joints. To understand the captured motions, similarity-based …
Similarity-Based Processing of Motion Capture Data
Motion capture technologies digitize human movements by tracking 3D positions of specific
skeleton joints in time. Such spatio-temporal data have an enormous application potential in …
skeleton joints in time. Such spatio-temporal data have an enormous application potential in …
[PDF][PDF] Advancing Management of Complex Data in Metric Spaces
RM ANTOL - is.muni.cz
Most of the data emerging in modern applications are complex in nature, which presents
specific challenges in their processing. To manage, retrieve and analyze complex data, the …
specific challenges in their processing. To manage, retrieve and analyze complex data, the …