Continuous Action Recognition Based on Sequence Alignment

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F15%3A00230191" target="_blank" >RIV/68407700:21230/15:00230191 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/s11263-014-0758-9" target="_blank" >http://dx.doi.org/10.1007/s11263-014-0758-9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s11263-014-0758-9" target="_blank" >10.1007/s11263-014-0758-9</a>

Result language
angličtina
Original language name
Continuous Action Recognition Based on Sequence Alignment
Original language description
Continuous action recognition is more challenging than isolated recognition beca use classification and segmentation must be simultaneously carried out. We build on the well k nown dynamic time warping framework and devise a novel visual alignment technique, namely dyna mic frame warping (DFW), which performs isolated recognition based on per-frame representation of videos, and on aligning a test sequence with a model sequence. Moreover, we propose two ex tensions which enable to perform recognition concomitant with segmentation, namely one-pass DF W and two-pass DFW. These two methods have their roots in the domain of continuous recognition of speech and, to the best of our knowledge, their extension to continuous visual action reco gnition has been overlooked. We test and illustrate the proposed techniques with a recently re leased dataset (RAVEL) and with two public-domain datasets widely used in action recognition ( Hollywood-1 and Hollywood-2).We also compare the performances of t
Czech name
—
Czech description
—

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
—

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)