Edge AR X5: An edge-assisted multi-user collaborative framework for mobile web augmented reality in 5G and beyond
Multi-user mobile Augmented Reality (AR) has been successfully used in various fields as a
novel visual interaction technology. But current mainstream wearable device-based and app …
novel visual interaction technology. But current mainstream wearable device-based and app …
Manual and automatic image analysis segmentation methods for blood flow studies in microchannels
V Carvalho, IM Gonçalves, A Souza, MS Souza… - Micromachines, 2021 - mdpi.com
In blood flow studies, image analysis plays an extremely important role to examine raw data
obtained by high-speed video microscopy systems. This work shows different ways to …
obtained by high-speed video microscopy systems. This work shows different ways to …
HAR-depth: a novel framework for human action recognition using sequential learning and depth estimated history images
Human action recognition (HAR) is a challenging task due to the presence of the pose and
temporal variations in the action videos. To address these challenges, HAR-Depth is …
temporal variations in the action videos. To address these challenges, HAR-Depth is …
Subtle expression recognition using optical strain weighted features
Optical strain characterizes the relative amount of displacement by a moving object within a
time interval. Its ability to compute any small muscular movements on faces can be …
time interval. Its ability to compute any small muscular movements on faces can be …
Recognizing gaits on spatio-temporal feature domain
W Kusakunniran - IEEE Transactions on Information Forensics …, 2014 - ieeexplore.ieee.org
Gait has been known as an effective biometric feature to identify a person at a distance, eg,
in video surveillance applications. Many methods have been proposed for gait recognitions …
in video surveillance applications. Many methods have been proposed for gait recognitions …
Learning effective binary descriptors for micro-expression recognition transferred by macro-information
In this paper, we propose three effective binary face descriptor learning methods, namely
dual-cross patterns from three orthogonal planes (DCP-TOP), hot wheel patterns (HWP) and …
dual-cross patterns from three orthogonal planes (DCP-TOP), hot wheel patterns (HWP) and …
Efficient hierarchical graph-based segmentation of RGBD videos
We present an efficient and scalable algorithm for segmenting 3D RGBD point clouds by
combining depth, color, and temporal information using a multistage, hierarchical graph …
combining depth, color, and temporal information using a multistage, hierarchical graph …
DISNet: A sequential learning framework to handle occlusion in human action recognition with video acquisition sensors
Human action recognition (HAR) requires a clear line of sight for the video acquisition
system to properly collect the data. However, the data acquisition is hampered due to …
system to properly collect the data. However, the data acquisition is hampered due to …
Attribute-based learning for gait recognition using spatio-temporal interest points
W Kusakunniran - Image and Vision Computing, 2014 - Elsevier
This paper proposes a new method to extract a gait feature from a raw gait video directly.
The Space–Time Interest Points (STIPs) are detected where there are significant movements …
The Space–Time Interest Points (STIPs) are detected where there are significant movements …
Space-time surface reconstruction using incompressible flow
We introduce a volumetric space-time technique for the reconstruction of moving and
deforming objects from point data. The output of our method is a four-dimensional space …
deforming objects from point data. The output of our method is a four-dimensional space …