This article is cited in 2 papers

IMAGE PROCESSING, PATTERN RECOGNITION

Camera parameters estimation from pose detections

E. A. Shalimova^a, E. V. Shalnov^a, A. S. Konouchine<sup>ba

a</sup> Samsung-MSU Laboratory, Lomonosov Moscow State University, Leninskie Gory 1-52, Moscow, Russia
^b Samsung AI Center, 5c Lesnaya str., Moscow, Russia

Abstract: 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.

Keywords: camera calibration, dynamic vision sensor, video surveillance.

Received: 19.07.2019
Accepted: 18.02.2020

DOI: 10.18287/2412-6179-CO-600