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Camera parameters estimation from pose detections
E.A. Shalimova 1, E.V. Shalnov 1, A.S. Konushin 1,2

Samsung-MSU Laboratory, Lomonosov Moscow State University, Leninskie Gory 1-52, Moscow, Russia,
Samsung AI Center, 5c Lesnaya str., Moscow, Russia

 PDF, 3412 kB

DOI: 10.18287/2412-6179-CO-600

Страницы: 385-392.

Язык статьи: English

Some computer vision tasks become easier with known camera calibration. We propose a method for camera focal length, location and orientation estimation by observing human poses in the scene. Weak requirements to the observed scene make the method applicable to a wide range of scenarios. Our evaluation shows that even being trained only on synthetic dataset, the proposed method outperforms known solution. Our experiments show that using only human poses as the input also allows the proposed method to calibrate dynamic visual sensors.

Ключевые слова:
camera calibration, dynamic vision sensor, video surveillance.

Shalimova EA, Shalnov EV, Konushin AS. Camera parameters estimation from pose detections. Computer Optics 2020; 44(3): 385-392. DOI: 10.18287/2412-6179-CO-600.


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