For the current REF see the REF 2021 website REF 2021 logo

Output details

11 - Computer Science and Informatics

University of Leeds

Return to search Previous output Next output
Output 37 of 95 in the submission
Output title

Event Model Learning from Complex Videos using ILP

Type
E - Conference contribution
Name of conference/published proceedings
Frontiers in Artificial Intelligence and Applications
Volume number
215
Issue number
-
First page of article
93
ISSN of proceedings
0922-6389
Year of publication
2010
URL
-
Number of additional authors
2
Additional information

<23>This is the first application of inductive logic programming (ILP) to activity analysis in computer vision. Using a qualitative spatio-temporal representation for object interaction, ILP is demonstrated effective, with rapidly growing impact: (i) it led directly to the major EU project RACE (2011-2014, €3M) that is extending the approach to learn about robotic interaction with the environment; (ii) it was central to the definition of project Vigil (2010-2013, $570k to Leeds), part of DARPA’s Minds Eye programme, led by SRI; and (iii) it has already led to a further publication reporting on an extension (DOI:10.1007/978-3-642-31951-8_14).

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
7
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-