文章基本信息

标题：Video Analytics for Quantitative Employee Performance Evaluation
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作者：M. Fahad Khan ; Hafiz Adnan Habib
期刊名称：Canadian Journal on Image Processing and Computer Vision
印刷版ISSN：1923-1717
出版年度：2010
卷号：1
期号：1
页码：9-15
出版社：AM Publishers Corporation Canada
摘要：Humans mostly use faces to recognize persons and progression in computing aptitude over the past few decades now facilitate similar recognitions automatically. As one of the most successful applications of video analytics, face recognition and motion recognition has got special consideration. Chief encroachments and initiatives in the past ten to fifteen years have propelled video analytics technology into the focus. Video analytics can be used for both verification and identification of the person present or absent on a specific place and provides with a challenge of reporting a complete detail of Video analytics is being used in corporate sectors for various purposes; one of them is to process the surveillance video analytically so that only important events are included in the summary. The paper provides an up-to-date critical methodology of video based video analytics technology. The purpose of this research is to process the real life video analytically to generate the employee performance evaluation report for the organizational administration to save their time which they usually spend for visiting offices at remote locations. This research is to develop intelligent algorithms that can monitor and analyze the activities of employee at workplace and can report in quantifiable manner.