Structuring Personal Activity Records Based on Attention - Analyzing Videos from Head-Mounted Camera

This paper introduces a novel method for analyzing video records which contain personal activities captured by a head mounted camera. This aims to support the user to retrieve the most important or relevant portions from the videos. For this purpose, we use the user's behaviors which appear when he/she pays attention to something. We define two types of those behaviors, one of which is "gaze at something in a short period" and the other is "staying and continuously see something". These behaviors and the focused object can be detected by estimating camera and object motion. We describe, in this paper, the details of the method and experiments in which the method was applied to ordinary events.

• Type: Conference
• Year: 2000
• Where: ICPR
• Authors: Yuichi Nakamura, Yuichi Ohta, Jun'ya Ohde
• Keywords: Computer Vision, Head Mounted Camera, ICPR 2000, Object Motion, Relevant Portions