Algorithm of tracking of intersecting objects based on a sequence of depth images


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Abstract

A problem of tracking of a group of identical objects with a variable shape and a large number of occlusions is considered. This problem is important for biology and safety systems. An algorithm of detection and tracking of biological objects on the basis of a sequence of depth images is proposed. Being tested, the algorithm provides one mistake per 193 collisions for the worst sequence.

About the authors

V. A. Kulikov

Institute of Automation and Electrometry, Siberian Branch; Novosibirsk State University

Author for correspondence.
Email: kulikov.victor@gmail.com
Russian Federation, pr. Akademika Koptyuga 1, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090

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