Motion Maps and Their Applications for Dynamic Object Monitoring
- Autores: Chen H.1, Ye S.1, Nedzvedz O.2, Ablameyko S.3, Bai Z.1
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Afiliações:
- Zhejiang Shuren University
- Belarusian State Medical University
- Belarusian State University
- Edição: Volume 29, Nº 1 (2019)
- Páginas: 131-143
- Seção: Applied Problems
- URL: https://journals.rcsi.science/1054-6618/article/view/195545
- DOI: https://doi.org/10.1134/S1054661819010139
- ID: 195545
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Resumo
In this paper, dynamic object behavior analysis task is considered. We use basic optical flow to form integral optical flow and use it to separate background and foreground and obtain intensive motion regions. Based on information extracted from integral optical flow, we introduce notion of motion maps and show how it can be used for dynamic object motion analysis. In motion maps, we analyze pixel motions statistically for each frame to obtain quantity of pixels moving toward or away from each position and their comprehensive motion at each position. We then define and compute regional motion indicators to describe motions at regional level. These indicators are further used for analysis of dynamic object behavior. We conduct a set of experiments on real world videos. Experimental results show that motion maps can be effectively used for dynamic object monitoring.
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Sobre autores
Huafeng Chen
Zhejiang Shuren University
Autor responsável pela correspondência
Email: eric.hf.chen@hotmail.com
República Popular da China, Hangzhou
Shiping Ye
Zhejiang Shuren University
Email: eric.hf.chen@hotmail.com
República Popular da China, Hangzhou
O. Nedzvedz
Belarusian State Medical University
Email: eric.hf.chen@hotmail.com
Belarus, Minsk
S. Ablameyko
Belarusian State University
Email: eric.hf.chen@hotmail.com
Belarus, Minsk
Zhican Bai
Zhejiang Shuren University
Email: eric.hf.chen@hotmail.com
República Popular da China, Hangzhou
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