A sketch-based approach for detecting common human actions

Evan A. Suma, Christopher Walton Sinclair, Justin Babbs, Richard Souvenir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

We present a method for detecting common human actions in video, common to athletics and surveillance, using intuitive sketches and motion cues. The framework presented in this paper is an automated end-to-end system which (1) interprets the sketch input, (2) generates a query video based on motion cues, and (3) incorporates a new content- based action descriptor for matching. We apply our method to a publicly- available video repository of many common human actions and show that a video matching the concept of the sketch is generally returned in one of the top three query results.

Original languageEnglish (US)
Title of host publicationAdvances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
Pages418-427
Number of pages10
EditionPART 1
DOIs
StatePublished - Dec 1 2008
Externally publishedYes
Event4th International Symposium on Visual Computing, ISVC 2008 - Las Vegas, NV, United States
Duration: Dec 1 2008Dec 3 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume5358 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Symposium on Visual Computing, ISVC 2008
Country/TerritoryUnited States
CityLas Vegas, NV
Period12/1/0812/3/08

Fingerprint

Dive into the research topics of 'A sketch-based approach for detecting common human actions'. Together they form a unique fingerprint.

Cite this