ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2018, Vol. 26 ›› Issue (9): 1617-1623.doi: 10.3724/SP.J.1042.2018.01617

• 研究前沿 • 上一篇    下一篇

场景知觉过程中的动作意图识别

康廷虎*(), 薛西   

  1. 西北师范大学心理学院视觉认知实验室, 兰州 730070
  • 收稿日期:2017-05-02 出版日期:2018-09-15 发布日期:2018-07-30
  • 通讯作者: 康廷虎 E-mail:kangyan313@126.com
  • 基金资助:
    国家社会科学基金青年项目(13CSH074);甘肃省体育卫生与健康教育美育国防教育专项任务项目(77)

Recognition of action and intention in real-world scene perception

KANG Tinghu*(), XUE Xi   

  1. Visual Cognition Lab, School of Psychology, Northwest Normal University, Lanzhou 730070, China
  • Received:2017-05-02 Online:2018-09-15 Published:2018-07-30
  • Contact: Tinghu KANG E-mail:kangyan313@126.com

摘要:

场景即我们生活于其中的真实环境, 社会场景是其重要组成部分。在社会场景知觉的研究中, 动作意图的识别既受场景背景信息的影响, 也与动作的客观对象有关。因此, 研究者可以根据背景-刺激物、刺激物-刺激物关系, 探索动作识别的影响机制; 另一方面, 也可以根据场景的语义约束和物理限制, 依据合理动作原则及其伴随的生理指标检测并识别动作意图。在机器视觉研究领域, 计算机识别模型为社会场景中动作意图的检测和识别提供了新的视角。在未来的研究中, 研究者需要考虑真实场景中动作意图识别能力的发展、动作意图识别的个体差异和文化差异等问题。

关键词: 社会场景, 动作意图, 场景知觉, 计算机识别模型

Abstract:

A social scene plays a crucial part in the real physical world that people live in. In social scene perception studies, recognition of actions and associated intentions can be influenced not only by the background information of the scene, but can also be related to the object of an action. Therefore, researchers could follow the relationships between the background and an object, or among various objects for analyzing the mechanism of action recognition. However, to detect and recognize an action and its associated intention, researchers could also employ semantics restriction and physical baffle of scene, and incorporate the principle of rational action for studying the biological signs following an action. In the field of machine vision, new research is emerging on models of computer recognition that are based on human-object interaction. In the future, researchers can consider the development of action and intention identification capacity, and can study the differences among individuals of various cultures for improving the studies conducted in this field of research.

Key words: social scene, action and intention, scene perception, model of computer recognition.

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