ALGORITHM OF TRACKING OF INTERSECTING OBJECTS BASED ON A SEQUENCE OF DEPTH IMAGES
V. A. Kulikov1,2
1Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, pr. Akademika Koptyuga 1, Novosibirsk, 630090 Russia
2Novosibirsk State University, ul. Pirogova 2, Novosibirsk, 630090 Russia
Keywords: трассировка, дальностное изображение, сегментация, социальное поведение животных, tracking, depth image, segmentation, social behavior of animals
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.
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