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

Kseniia Ezhova; Dmitriy Fedorenko; Anton Chuhlamov

doi:10.1117/12.2227571

29 April 2016 Analysis and segmentation of images in case of solving problems of detecting and tracing objects on real-time video

Kseniia Ezhova, Dmitriy Fedorenko, Anton Chuhlamov

Author Affiliations +

Proceedings Volume 9897, Real-Time Image and Video Processing 2016; 98970M (2016) https://doi.org/10.1117/12.2227571
Event: SPIE Photonics Europe, 2016, Brussels, Belgium

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.

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Kseniia Ezhova, Dmitriy Fedorenko, and Anton Chuhlamov "Analysis and segmentation of images in case of solving problems of detecting and tracing objects on real-time video", Proc. SPIE 9897, Real-Time Image and Video Processing 2016, 98970M (29 April 2016); https://doi.org/10.1117/12.2227571

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