Automatic Face and Object Identification and Motion Tracking for Indexing Digital Video

尽管视频、电视和电影已经从模拟格式发展成为数字观看体验，但媒体本身在很大程度上仍然是机器无法理解的。虽然在廉价有效地制作、分发、存储和显示数字视频的能力方面已经取得了巨大的进步，但对视频中包含的视觉模拟对象几乎没有智能的数字理解。这些数据所代表的动态图像只能由人类完全理解，目前视频内容是通过包含在标题或文件名以及通常是虚幻的描述中的信息进行搜索和分类的。传统媒体不具备我们在当今现代数字环境中发现的其他数据丰富资产的特征。添加数字戳或参考点移动视频对象创建视觉，二维，模拟形状和第三方数字数据的力量之间的联系。该项目旨在开发一种工具，允许内容所有者和制作人分析和处理视频文件，从制作匆忙到最终组成编辑，以便图像信息可以存储，移动的人和物体可以；识别和识别，记录他们的运动，并添加一个数字参考点。这允许根据图片、人物和对象对内容进行索引和搜索。

Although video, television and film have developed from an analogue format into a digital viewing experience, the medium itself remains largely incomprehensible to machines.Whilst there have been huge advances in the ability to produce, distribute, store and display digital video cheaply and effectively, there is almost no intelligent digital understanding about the visual analogue objects video contains. The moving image that this data represents can only be fully understood by humans and at present video content is searched for and categorised by information contained within a title or filename and an often illusive description. The traditional medium doesn't have the characteristics of other data-rich assets we find in today's modern digital environment.Adding a digital stamp or reference point to moving video objects creates a link between the visual, two-dimensional, analogue shape and the power of third party digital data. This project aims to develop a tool that allows content owners and producers to analyse and process video files, from production rushes to final composed edits, so that picture information can be stored, moving people and objects can be; identified and recognised, their movement recorded and a digital reference point added. This allows content to be indexed and searched for by picture, people and objects it contains.