20180627-18 王鑫超：Tracking Multiple Objects in Image Sequences

报告嘉宾：王鑫超（Stevens Institute of Technology）

报告时间：2018年06月27日（星期三）早上10:00（北京时间）

报告题目：Tracking Multiple Objects in Image Sequences

主持人：樊彬（中科院自动化所）

报告人简介：

Xinchao Wang is currently a tenure-track assistant professor in the Department of Computer Science, Stevens Institute of Technology. His main research interests include Computer Vision, Applied Machine Learning, Multimedia, and Big Data Analytics. Before joining Stevens, he was a Postdoc at the Image Formation and Professing (IFP) group at Beckman Institute, University of Illinois Urbana-Champaign  (UIUC). He received a Ph.D. from the Computer Vision Lab, École polytechnique fédérale de Lausanne (EPFL) in 2015, and a first-class honorable B.Sc. in Department of Computing, the Hong Kong Polytechnic University (HKPU) in 2010.

个人主页：

https://sites.google.com/site/sitexinchaowang/

报告摘要：

Multi-object tracking (MOT) is a crucial task in computer vision, for which the goal is to follow the states of objects over time while preserving their identities. In this talk, we will discuss several major challenges of MOT and our models to handle them. We will show a wide domain of application scenarios ranging from video surveillance through sports analytics to medical image analysis.

参考文献：

[1] Interacting Tracklets for Multi-object Tracking 

L Lan, X Wang, S Zhang, D Tao, W Gao, TS Huang 

IEEE Transactions on Image Processing (TIP), 2018.

[2] Greedy Batch-based Minimum-cost Flows for Tracking Multiple Objects X Wang, B Fan, S Chang, Z Wang, X Liu, D Tao, TS Huang

IEEE Transactions on Image Processing (TIP), 2017.

[3] Non-Markovian Globally Consistent Multi-Object Tracking A Maksai, X Wang, F Fleuret, P Fua  International Conference on Computer Vision (ICCV), 2017.

[4] Tracking Interacting Objects Using Intertwined Flows X Wang, E Türetken, F Fleuret, P Fua IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.

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特别鸣谢本次Webinar主要组织者：

VOOC责任委员：樊彬（中科院自动化所）

VODB协调理事：彭玺（四川大学）

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