SBIR Phase I: Learning Context

SBIR 第一阶段：学习背景

• 批准号: 0340175
• 负责人: Niels Haering
• 金额: $ 9.07万
• 依托单位: ObjectVideo, Inc.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0340175&HistoricalAwards=false
• 关键词: SBIR; Phase; Learning; Context

This Small Business Innovation Research (SBIR) Phase I research project proposes the unsupervised extraction of contextual information from dedicated video surveillance cameras by providing a mechanism to manually inject pieces of semantic, using semantic knowledge as seed information to learn statistical context models for: functional components, Environmental components, targets, temporal components, and integrating the learned contextual information into video surveillance systems.Automatic exploitation of context from video will benefit: core computer vision research areas such as segmentation, background-modeling, tracking, and classification, event detection, automatic unusual behavior detection; abnormal target behavior, weather conditions, sequences of events, and the like and event handling. This project will have the most impact in the homeland security and law enforcement areas.

这个小型企业创新研究（SBIR）第一阶段研究项目提出了从专用视频监控摄像机中无监督地提取上下文信息，方法是提供一种手动注入语义片段的机制，使用语义知识作为种子信息来学习统计上下文模型：功能成分，环境成分，目标，时间成分，从视频中自动开发上下文信息将有利于：计算机视觉的核心研究领域，如分割、背景建模、跟踪和分类、事件检测、自动异常行为检测;异常目标行为、天气条件、事件序列等以及事件处理。该项目将在国土安全和执法领域产生最大影响。