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Episodic Image Recording System for Memory Aid by Understanding Behavior and Situation

通过了解行为和情况来辅助记忆的情景图像记录系统

基本信息

批准号：
09838001
负责人：
KAWASHIMA Toshio
金额：
$ 1.41万
依托单位：
HOKKAIDO UNIVERSITY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
1997
资助国家：
日本
起止时间：
1997 至 1998
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-09838001/
关键词：
Memory Aid Prothesis Episodic Memory Understaing Behavior

项目摘要

In the project, we proposed a method for memory aid which utilizes image processing and data retrieval technologies, In the experimental system, image from user's view point taken by a CCD camera is analyzed by a computer to select impressive scenes from the image sequence.The research is summarized in the following points.(a) With the head-mount camera we recorded episodic images and evaluated the ability of these imagesto improve mental retrace of past events, In the experiments, we found the following facts.A still image which views episode improves mental recall. Though the ability of mental recall depends on subjects, episodic image showed improvement on the recall experoment.If the scene is complicated, events less related to the context of the situation often unrecalled. In such a case, an image which clearly discriminates the situation from the context made improvement in recall.Structured still images of episodic scene recall the events if the scene was complicated. We organized the images taken by a CCD camera into a hierarchy of scene. The structured images dramatically improved the mental retrace.(b) Algrothms to extract images closely related to episodes are proposed.An algorithm which extract human-face from long-term video recordings is proposed.An algorithm to monitor the motion of the user is proposed.Algorithms to segment the long-term scene into hierarchy are proposed.An algorithm to recognize human action from image is proposed. We concentrated on the algorithm to extract scenes in which the user to pick/place objects.

在本项目中，我们提出了一种利用图像处理和数据检索技术的记忆辅助方法，在实验系统中，计算机分析了由CCD摄像机拍摄的来自用户视角的图像，从图像序列中挑选出令人印象深刻的场景。研究总结如下：(A)利用头盔摄像头记录情节图像，并评估这些图像对过去事件的心理回溯能力，在实验中，我们发现以下事实：观看情节的静止图像提高了心理回忆能力。虽然心理回忆的能力取决于被试，但情节意象在回忆实验中表现出改进，如果场景复杂，与情境背景关系较小的事件往往不被回忆。在这种情况下，一个清晰地区分情况和背景的图像在回忆时会有所改善，结构化的情节场景静止图像会回忆起场景复杂的事件。我们把由ccd摄像机拍摄的图像组织成场景的层次结构。提出了一种提取与剧情密切相关的图像的算法，提出了一种从长期视频记录中提取人脸的算法，提出了一种监控用户运动的算法，提出了一种对长期场景进行分层分割的算法，提出了一种从图像中识别人体动作的算法。我们专注于提取场景的算法，用户可以在其中拾取/放置对象。