no code implementations • 28 Apr 2021 • Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes
In a real world environment, person re-identification (Re-ID) is a challenging task due to variations in lighting conditions, viewing angles, pose and occlusions.
no code implementations • 28 Apr 2021 • Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes
Person re-identification (re-ID) concerns the matching of subject images across different camera views in a multi camera surveillance system.
no code implementations • 7 May 2020 • Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes
Person re-identification (re-ID) remains challenging in a real-world scenario, as it requires a trained network to generalise to totally unseen target data in the presence of variations across domains.
no code implementations • 21 Dec 2018 • Amena Khatun, Simon Denman, Sridha Sridharan, Clinton Fookes
In this paper, we propose a four stream Siamese deep convolutional neural network for person redetection that jointly optimises verification and identification losses over a four image input group.