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Found 6 papers, 0 papers with code
A Large-Scale Re-identification Analysis in Sporting Scenarios: the Betrayal of Reaching a Critical Point
Our experimental results demonstrate that gait recognition can be significantly enhanced (up to a 9% increase in mAP) as athletes approach this point.
An X3D Neural Network Analysis for Runner's Performance Assessment in a Wild Sporting Environment
We present a transfer learning analysis on a sporting environment of the expanded 3D (X3D) neural networks.
Towards cumulative race time regression in sports: I3D ConvNet transfer learning in ultra-distance running events
In this paper, we propose regressing an ultra-distance runner cumulative race time (CRT), i. e., the time the runner has been in action since the race start, by using only a few seconds of footage as input.
Decontextualized I3D ConvNet for ultra-distance runners performance analysis at a glance
Each footage is considered an input to an I3D ConvNet to extract the participant's running gait in our work.
Deep learning for source camera identification on mobile devices
In the present paper, we propose a source camera identification method for mobile devices based on deep learning.
Comparative study of histogram distance measures for re-identification
In this paper we study the behavior of several histogram distance measures in different color spaces.
