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[竞赛活动] Call for Participation: Multi-Camera Object Tracking (MCT) Challenge

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发表于 2014-6-17 19:27 | 显示全部楼层 |阅读模式
Multi-Camera Object Tracking (MCT) Challenge
活动日期: 2014-06-01
结束日期: 2014-08-01
活动地点:
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本帖最后由 Cwhgn 于 2014-6-17 19:30 编辑

Call for Participation: Multi-Camera Object Tracking (MCT) Challenge
Workshop on Visual Surveillance and Re-Identification
Zurich, 12th September 2014
In conjunction with ECCV 2014


Recently, multi-camera visual surveillance has attracted much attention and been widely used in applications such as continuously tracking objects of interest, large-scale surveillance video retrieval, etc. The MCT challenge focuses on the problem of object tracking across multiple non-overlapping cameras. In the fields of view (FoVs) of all the cameras, every pedestrian must have a unique label or identity, no matter he enters the FoVs for the first time or re-appears for several times. Many researchers and organizations have done lots of work on this problem; however, it is very difficult to make comparisons between algorithms. Because there is few public benchmark datasets, most of the algorithms have been tested on different datasets. In the MCT challenge, all the participants must submit their tracking results on the same NLPR_MCT dataset using the same evaluation criterion.

Participants are encouraged to submit papers describing their submission methods to the workshop. The winner of the MCT challenge will give an oral presentation at the workshop, will receive a prize and will be invited to publish his method on a special issue of a top-rank journal.

For more detailed information, please refer to the challenge homepage at: http://mct.idealtest.org/


Important Dates
·         Deadline for Challenge Submission: Friday, 1th August 2014
·         Notification of Results: Friday, 15th August 2014
·         Date of Workshop: Friday, 12th September 2014

Contact
Prof. Kaiqi Huang, Email: kqhuang@nlpr.ia.ac.cn
Dr. Xiaotang Chen, Email: xtchen@nlpr.ia.ac.cn
Weihua Chen, Email: weihua.chen@nlpr.ia.ac.cn


Center for Research on Intelligent Perception and Computing (CRIPAC), National Laboratory of Pattern Recognition(NLPR), Institute of Automation, Chinese Academy of Sciences(CASIA), Beijing 100190, China
 楼主| 发表于 2014-6-17 19:32 | 显示全部楼层
计算机视觉顶级会议ECCV的比赛,正好今年中科院自动化承办,欢迎交大学生,特别是计算机和电信学院的本科和研究生参加~
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