A sketch-based approach for detecting common human actions

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

doi:10.1007/978-3-540-89639-5_40

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 proceeding › Conference 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 language	English (US)
Title of host publication	Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings
Pages	418-427
Number of pages	10
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-540-89639-5_40
State	Published - 2008
Externally published	Yes
Event	4th International Symposium on Visual Computing, ISVC 2008 - Las Vegas, NV, United States Duration: Dec 1 2008 → Dec 3 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	5358 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	4th International Symposium on Visual Computing, ISVC 2008
Country/Territory	United States
City	Las Vegas, NV
Period	12/1/08 → 12/3/08

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10.1007/978-3-540-89639-5_40

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Suma, E. A., Sinclair, C. W., Babbs, J., & Souvenir, R. (2008). A sketch-based approach for detecting common human actions. In Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings (PART 1 ed., pp. 418-427). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5358 LNCS, No. PART 1). https://doi.org/10.1007/978-3-540-89639-5_40

A sketch-based approach for detecting common human actions. / Suma, Evan A.; Sinclair, Christopher Walton; Babbs, Justin et al.
Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 1. ed. 2008. p. 418-427 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5358 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Suma, EA, Sinclair, CW, Babbs, J & Souvenir, R 2008, A sketch-based approach for detecting common human actions. in Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 5358 LNCS, pp. 418-427, 4th International Symposium on Visual Computing, ISVC 2008, Las Vegas, NV, United States, 12/1/08. https://doi.org/10.1007/978-3-540-89639-5_40

Suma EA, Sinclair CW, Babbs J, Souvenir R. A sketch-based approach for detecting common human actions. In Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 1 ed. 2008. p. 418-427. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-540-89639-5_40

Suma, Evan A. ; Sinclair, Christopher Walton ; Babbs, Justin et al. / A sketch-based approach for detecting common human actions. Advances in Visual Computing - 4th International Symposium, ISVC 2008, Proceedings. PART 1. ed. 2008. pp. 418-427 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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A sketch-based approach for detecting common human actions

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