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


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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.

作者简介

V. Kulikov

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

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Email: kulikov.victor@gmail.com
俄罗斯联邦, pr. Akademika Koptyuga 1, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090

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