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Proceedings Paper

Analysis and segmentation of images in case of solving problems of detecting and tracing objects on real-time video
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Paper Abstract

The article deals with the methods of image segmentation based on color space conversion, and allow the most efficient way to carry out the detection of a single color in a complex background and lighting, as well as detection of objects on a homogeneous background. The results of the analysis of segmentation algorithms of this type, the possibility of their implementation for creating software. The implemented algorithm is very time-consuming counting, making it a limited application for the analysis of the video, however, it allows us to solve the problem of analysis of objects in the image if there is no dictionary of images and knowledge bases, as well as the problem of choosing the optimal parameters of the frame quantization for video analysis.

Paper Details

Date Published: 29 April 2016
PDF: 8 pages
Proc. SPIE 9897, Real-Time Image and Video Processing 2016, 98970M (29 April 2016); doi: 10.1117/12.2227571
Show Author Affiliations
Kseniia Ezhova, ITMO Univ. (Russian Federation)
Dmitriy Fedorenko, ITMO Univ. (Russian Federation)
Anton Chuhlamov, ITMO Univ. (Russian Federation)

Published in SPIE Proceedings Vol. 9897:
Real-Time Image and Video Processing 2016
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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