25 citations · 35 across the 7 of their papers we have counts for
9 papers
Detecting and Matching Related Objects with One Proposal Multiple Predictions
Yang Liu, Luiz G. Hafemann, Michael Jamieson +1
Tracking players in sports videos is commonly done in a tracking-by-detection framework, first detecting players in each frame, and then performing association over time. While for…
Player Identification in Hockey Broadcast Videos
Alvin Chan, Martin D. Levine, Mehrsan Javan
We present a deep recurrent convolutional neural network (CNN) approach to solve the problem of hockey player identification in NHL broadcast videos. Player identification is a dif…
A Flow-Guided Mutual Attention Network for Video-Based Person Re-Identification
Madhu Kiran, Amran Bhuiyan, Louis-Antoine Blais-Morin +3
Person Re-Identification (ReID) is a challenging problem in many video analytics and surveillance applications, where a person's identity must be associated across a distributed no…
Group Activity Detection from Trajectory and Video Data in Soccer
Ryan Sanford, Siavash Gorji, Luiz G. Hafemann +2
Group activity detection in soccer can be done by using either video data or player and ball trajectory data. In current soccer activity datasets, activities are labelled as atomic…
Actor-Transformers for Group Activity Recognition
Kirill Gavrilyuk, Ryan Sanford, Mehrsan Javan +1
This paper strives to recognize individual actions and group activities from videos. While existing solutions for this challenging problem explicitly model spatial and temporal rel…
Optimizing Through Learned Errors for Accurate Sports Field Registration
Wei Jiang, Juan Camilo Gamboa Higuera, Baptiste Angles +3
We propose an optimization-based framework to register sports field templates onto broadcast videos. For accurate registration we go beyond the prevalent feed-forward paradigm. Ins…
Exploiting Prunability for Person Re-Identification
Hugo Masson, Amran Bhuiyan, Le Thanh Nguyen-Meidine +4
Recent years have witnessed a substantial increase in the deep learning (DL)architectures proposed for visual recognition tasks like person re-identification,where individuals must…
Winning Is Not Everything: A contextual analysis of hockey face-offs
Nick Czuzoj-Shulman, David Yu, Christopher Boucher +2
This paper takes a different approach to evaluating face-offs in ice hockey. Instead of looking at win percentages, the de facto measure of successful face-off takers for decades,…
Playing Fast Not Loose: Evaluating team-level pace of play in ice hockey using spatio-temporal possession data
David Yu, Christopher Boucher, Luke Bornn +1
Pace of play is an important characteristic in hockey as well as other team sports. We provide the first comprehensive study of pace within the sport of hockey, focusing on how tea…