Research group

Machine Learning Applications and Deep Learning

Visual Object Tracking

3 April 2019

The task object tracking is vital in numerous applications, such as autonomous driving, intelligent surveillance, robotics, etc. The standard formulation for the object tracking is assigning a so called bounding box to an object in a video stream (i.e., on every frame of the video), provided only the bounding box for a chosen object on the first frame. In this field, we want to achieve not only accurate localization, but also a small number of object losses during tracking.

At the seminar, we will look at the existing state-of-the-art models, discuss the approaches and techniques that are used in this area to achieve the maximum tracking perfomance.

Papers:

Li, Bo and Yan, Junjie and Wu, Wei and Zhu, Zheng and Hu, Xiaolin: High performance visual tracking with siamese region proposal network

Bai, Shuai and He, Zhiqun and Xu, Ting-Bing and Zhu, Zheng and Dong, Yuan and Bai, Hongliang: Multi-hierarchical Independent Correlation Filters for Visual Tracking

Speaker: Vladislav Belyaev.

Presentation language: Russian.

Date and time: April 3rd, 18:30-20:00.

Location: Times, room 204.

Videos from previous seminars are available at http://bit.ly/MLJBSeminars

Resources