IEEE VIP Cup 2017: Traffic Sign Detection Under Challenging Conditions

The IEEE Signal Processing Society announces the first edition of the Signal Processing Society Video and Image Processing (VIP) Cup: traffic sign detection under challenging conditionsVisit the 2017 VIP Cup Website(link is external). (https://ghassanalregib.com/vip-cup/)

Robust and reliable traffic sign detection is necessary to bring autonomous vehicles onto our roads. State of the art traffic sign detection algorithms in the literature successfully perform the task over existing databases that mostly lack realistic road conditions. This competition focuses on detecting such traffic signs under challenging conditions.

To facilitate such task and competition, we introduce a novel video dataset that contains a variety of road conditions. In such video sequences, we vary the type and the level of the challenging conditions including a range of lighting conditions, blur, haze, rain and snow levels. The goal of this challenge is to implement traffic sign detection algorithms that can robustly perform under such challenging environmental conditions.

Any eligible team can participate in the competition, whose detailed guidelines and dataset are planned to be released on March 15, 2017 and participating teams should complete their submission by July 1, 2017. The three best teams are selected and announced by August 1, 2017. Three finalist teams will be judged at ICIP 2017, which will be held September 17-20, 2017. In addition to algorithmic performances, demonstration and presentation performances will also affect the final ranking.

Important Dates:
1 August 2017: Announcement of the final three teams
17 September 2017: Final competition at ICIP 2017

Team Prizes

The champion: $5,000
The first runnerup: $2,500
The second runnerup: $1,500

Each finalist team invited to ICIP 2017 will receive travel supported by the SPS on a reimbursement basis. A team member is offered up to $1,200 for continental travel, or $1,700 for intercontinental travel. A maximum of three members per team will be eligible for travel support.