Algorithm of tracking of intersecting objects based on a sequence of depth images
- 作者: Kulikov V.A.1,2
- 
							隶属关系: 
							- Institute of Automation and Electrometry, Siberian Branch
- Novosibirsk State University
 
- 期: 卷 52, 编号 1 (2016)
- 页面: 37-42
- 栏目: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/211912
- DOI: https://doi.org/10.3103/S8756699016010064
- ID: 211912
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详细
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
							编辑信件的主要联系方式.
							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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