Grouping viewpoint images into scenes based on similarity between frames

Takeshi Nagasaki; Masashi Toda; Toshio Kawashima

doi:10.1117/12.502985

23 June 2003 Grouping viewpoint images into scenes based on similarity between frames

Takeshi Nagasaki, Masashi Toda, Toshio Kawashima

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.502985
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

We propose a method of automatically generating a snapshot sequence, which describes usual events, from head-mounted video camera. And we discuss a relationship between the snapshot sequence and behavior. We extract a snapshot from its video frames when the head hardly moved. This condition appears when the subject kept observation. As the eye (head) motion relates to his behavior, the snapshot sequence relates to his behavior, too. At its condition, neighbor frames are highly similar. So, we judge the head motion by similarity between neighbor frames. We use similarity estimation method by local grayvalue invariants.

Citation Download Citation

Takeshi Nagasaki, Masashi Toda, and Toshio Kawashima "Grouping viewpoint images into scenes based on similarity between frames", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.502985

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available