Understanding Humans in Images and Videos

了解图像和视频中的人类

• 批准号: 435401-2013
• 负责人: Wang, Yang
• 金额: $ 1.46万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2014
• 资助国家: 加拿大
• 起止时间: 2014-01-01 至 2015-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=552770
• 关键词: Understanding; Humans; Images; Videos

A grand challenge of computer vision is "understanding people" from visual data. Given an image (or video), we would like to build computer systems that can understand its content and provide rich descriptions about people in it, e.g. localizing people, recognizing their actions, identifying their attributes (e.g. gender, occupation, etc), inferring their relations with other people, etc. A reliable solution to this challenge will enable many applications, e.g. surveillance, entertainment, web search, human computer interaction, etc. The objective of the proposed research is to develop a body of knowledge that facilitates understanding people in visual data and to showcase the technologies with concrete applications.

计算机视觉的一个重大挑战是从视觉数据中“理解人”。给定图像（或视频），我们希望构建能够理解其内容并提供有关其中人员的丰富描述的计算机系统，例如，定位人员，识别他们的行为，识别他们的属性（例如，性别、职业等），推断他们与其他人的关系等。对这一挑战的可靠解决方案将使许多应用成为可能，例如，监视、娱乐、网络搜索，人机交互等。拟议研究的目标是开发一个知识体系，以促进在视觉数据中理解人，并展示具有具体应用的技术。