Human motion recognition with a convolution kernel

Dongwei Cao; Osama T. Masoud; Daniel L Boley

doi:10.1109/ROBOT.2006.1642359

Human motion recognition with a convolution kernel

Dongwei Cao, Osama T. Masoud, Daniel L Boley

Computer Science and Engineering

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

Abstract

We address the problem of human motion recognition in this paper. The goal of human motion recognition is to recognize the type of motion recorded in a video clip, which consists of a set of temporarily ordered frames. By defining a Mercer kernel between two video clips directly, we propose in this paper a recognition strategy that can incorporate both the information of each individual frame and the temporal ordering between frames. Combining the proposed kernel with the support vector machine, which is one of the most effective classification paradigms, the resulting recognition strategy exhibits excellent performance over real data sets.

Original language	English (US)
Title of host publication	Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006
Pages	4270-4275
Number of pages	6
DOIs	https://doi.org/10.1109/ROBOT.2006.1642359
State	Published - 2006
Event	2006 IEEE International Conference on Robotics and Automation, ICRA 2006 - Orlando, FL, United States Duration: May 15 2006 → May 19 2006

Publication series

Name	Proceedings - IEEE International Conference on Robotics and Automation
Volume	2006
ISSN (Print)	1050-4729

Other

Other	2006 IEEE International Conference on Robotics and Automation, ICRA 2006
Country/Territory	United States
City	Orlando, FL
Period	5/15/06 → 5/19/06

Keywords

Convolution kernels
Human motion recognition
Support vector machines

Publisher link

10.1109/ROBOT.2006.1642359

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Human motion recognition with a convolution kernel. / Cao, Dongwei; Masoud, Osama T.; Boley, Daniel L.
Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006. 2006. p. 4270-4275 1642359 (Proceedings - IEEE International Conference on Robotics and Automation; Vol. 2006).

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

Cao, D, Masoud, OT & Boley, DL 2006, Human motion recognition with a convolution kernel. in Proceedings 2006 IEEE International Conference on Robotics and Automation, ICRA 2006., 1642359, Proceedings - IEEE International Conference on Robotics and Automation, vol. 2006, pp. 4270-4275, 2006 IEEE International Conference on Robotics and Automation, ICRA 2006, Orlando, FL, United States, 5/15/06. https://doi.org/10.1109/ROBOT.2006.1642359

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author = "Dongwei Cao and Masoud, {Osama T.} and Boley, {Daniel L}",

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AB - We address the problem of human motion recognition in this paper. The goal of human motion recognition is to recognize the type of motion recorded in a video clip, which consists of a set of temporarily ordered frames. By defining a Mercer kernel between two video clips directly, we propose in this paper a recognition strategy that can incorporate both the information of each individual frame and the temporal ordering between frames. Combining the proposed kernel with the support vector machine, which is one of the most effective classification paradigms, the resulting recognition strategy exhibits excellent performance over real data sets.

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ER -

Human motion recognition with a convolution kernel

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