Academic Report Notice of Sergey Ablameyko:Dynamic objects motion analysis in video by using optical flow and neural networks

发布者:王健发布时间:2023-04-04浏览次数:25

Speaker: Professor  Sergey Ablameyko

TitleDynamic objects motion analysis in video by using optical flow and neural networks

Time: 14:30-15:30, April 10th, 2023 (Monday)

Website: Teams Link

https://teams.microsoft.com/l/meetup-join/19%3aB4gmRcUATAMA2iJqi-xXvtfPFfTbxVJPxSW_pcAPBao1%40thread.tacv2/1638719716825?context=%7b%22Tid%22%3a%2222804ebb-30d5-47df-942f-f3a3722f0225%22%2c%22Oid%22%3a%2216a60c03-ad7a-4b85-a403-8ebd947e010c%22%7d 

Abstract: 

One of the promising areas of development and implementation of artificial intelligence is the automatic detection and tracking of moving objects in video sequence. In this presentation, we will show analysis of moving objects with application to biomedical images. Stem cells are widely used in regenerative medicine due to their properties of regeneration: differentiation into specialized cells and proliferation through mitosis to produce more stem cells. We developed algorithms by using of integral optical flow and motion maps for identification of main types of cell motions in video-sequences including their directional motion, aggregation and dispersion. We show cell monitoring algorithms that analyze behavior of the cells’ population as a system of dynamical objects by using a concept of the integral optical flow. The presented results are used for monitoring and quantitative analysis of the development of cell cultures, estimating the dynamic changes taking place in them, and determining the population’s heterogeneity and viability. Two more tasks are shown in presentation that use optical flow for dynamic image analysis. A method for determining the characteristics of blood flow in the vessels of eye conjunctiva, such as linear and volumetric blood speed, and topological characteristics of vascular net was developed. We show the efficiency of our method in real eye vessels scenes. Second, a method for monitoring dynamic wound changes in video sequence based on integral optical flow will be shown. Dynamic characteristics of wound tissue changing are introduced and calculated. We show the efficiency of our method in real wound scenes.


Personal Introduction:

    Sergey Ablameyko (born in 1956, DipMath in 1978, PhD in 1984, DSc in 1990, Prof in 1992).  He was a General Director of the United Institute of Informatics Problems of the National Academy of Sciences of Belarus (2002-2008), Rector (President) of the Belarusian State University (2008-2017) and now he is a Professor of BSU. He has more than 650 publications including 25 authored/co-authored books (one published by Springer (UK), one - by SPIE (USA), one – by Exit (Poland) and 25 edited books (two published by IOS Press in NATO Science Series). In his academic career he was a visiting scientist in Italy, Japan, Sweden, Finland, England, Germany, UK, Greece, Spain, Australia, New Zealand, China. He was a chair/co-chair, member of Program Committees of numerous (more than 100) International conferences held worldwide. He is in Editorial Board of Pattern Recognition and Image Analysis, Non-linear Phenomena in Complex Systems and many other international journals. His scientific interests are: image analysis, pattern recognition, digital geometry, graphics recognition, knowledge based systems, geographical information systems, medical imaging. He is IEEE Fellow (UK) (1995), IEEE Senior Member (USA) (1995), Academician of International Academy of Information Processes and Technologies (1995), Academician of Belarusian Academy of Engineering (1995), Fellow of International Association for Pattern Recognition (1998), Academician of the National Academy of Sciences of Belarus (2009), Academician of Spanish Royal Academy of Doctors (2009), Academician of European Academy of Economy and Enterprise Management (2010), Academician of Academia European (2011), Honorary professor of Grodno State University, Belarus (2012), Academician of Russian Space Academy (2012), Honorary professor of Dalian University of Technology, China (2013), Honorary professor of Moscow State University, Russia (2014), Honorary professor of Binh Duong University, Vietnam (2014), Academician of Russian Academy of Natural Sciences (2015), Academician of Spanish Royal Academy of Economics and Finance (2016), Honorary professor of Belgrade Alfa BK University, Serbia (2016). He is a Vice-President of Asia-Pacific Artificial Intelligence Association (China, from 2021). For his activity he was awarded by State Prize of Belarus (highest national scientific award), Friendship Award of Russian Federation (2009), Friendship Award of Zhejiang Province of China (2018) and many other national and international awards.

[Editor:Xiaohan Liu]