most citedDynamic Feature Description in Human Action Recognition

5 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.GR2010

Across Browsers SVG Implementation

Liang Wang, Nies Huijsmans, Michael S. Lew +1

In this work SVG will be translated into VML or HTML by using Javascript based on Backbase Client Framework. The target of this project is to implement SVG to be viewed in Internet…

cs.CV2010

Binary and nonbinary description of hypointensity in human brain MR images

Xiaojing Chen, Michael S. Lew

Accumulating evidence has shown that iron is involved in the mechanism underlying many neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease and Huntington's…

cs.CV20105 cited

A Framework for Real-Time Face and Facial Feature Tracking using Optical Flow Pre-estimation and Template Tracking

E. R. Gast, Michael S. Lew

This work presents a framework for tracking head movements and capturing the movements of the mouth and both the eyebrows in real-time. We present a head tracker which is a combina…

cs.HC20101 cited

Analysis of Using Browser-native Technology to Build Rich Internet Applications for Image Manipulation

Thomas Steenbergen, Michael S. Lew

In this work we investigate whether browser-native technologies can be used to perform photo manipulation tasks e.g cropping, resizing or rotating an image within the current mains…

cs.HC20105 cited

Dynamic Feature Description in Human Action Recognition

Ruoyun Gao, Michael S. Lew, Ling Shao

This work aims to present novel description methods for human action recognition. Generally, a video sequence can be represented as a collection of spatial temporal words by detect…