Person Detection in the Restaurant of the Future

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Uploaded 4 months ago

By Ajay kumar lodhi

Category: Computer science

Language: English

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Many computer vision techniques dealing with humans require that the location
within an image of a person is known. In this research, we investigated into the
subject of person detection in a real-world environment: the Restaurant of the
Future. We evaluated several methods and selected one: person detection using
face detection. In order to apply this we evaluated several known methods
for face detection. Then we determined which aspects of the recordings from
the Restaurant impacted the performance of the face detectors. All methods
suffered strongly from the complex background in the Restaurant and the low
quality of the recordings. The angled viewpoint had an impact on several of the
methods while the video encoding used affected others. On the worst conditions,
the Viola-Jones detector performed best. The analysis of the weaknesses of the
face detectors will give future researchers a starting point in improving known
or finding new methods

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About the Author

Ajay kumar lodhi

@Mrnice

1,657 points

Level 4 - Helper

Ajay Kumar Lodhi is an educator and technologist with an M.Tech in Robotics, a B.Tech in Mechanical Engineering, and an M.A. in History. He is the founder of ShareMyNotes and Aakar Lab, where he focuses on making quality education, engineering, and technology learning accessible through practical, student-friendly, and exam-oriented resources.

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