Trajectory tracking in a wide field using two fixed cameras and neural network

Authors

Maria Isabel Saludares National Institute of Physics, University of the Philippines Diliman
Phoebe Gallanosa National Institute of Physics, University of the Philippines Diliman
Alix Jean Santos National Institute of Physics, University of the Philippines Diliman
Maricor Soriano National Institute of Physics, University of the Philippines Diliman

Abstract

A low-cost method consisting of two fixed cameras was utilized to demonstrate a way of tracking objects in a wide field. The cameras were placed and positioned in an angle where there exist overlapping views such that the tracking of a moving object continues as it disappears from the view of one of the cameras. With the dimensions of the field known, pre- determined points from the image can be used to train a neural network that can then automatically convert a player’s position in image coordinates to actual world coordinates.

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Issue

2012: Proceedings of the 30th Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP2012-PA-32

Section

Poster Session PA

Published

2012-10-22

How to Cite

[1]

MI Saludares, P Gallanosa, AJ Santos, and M Soriano, Trajectory tracking in a wide field using two fixed cameras and neural network, Proceedings of the Samahang Pisika ng Pilipinas 30, SPP2012-PA-32 (2012). URL: https://proceedings.spp-online.org/article/view/SPP2012-PA-32.