Learning optimised representations for view-invariant gait recognition
Gait recognition can be performed without subject cooperation under harsh conditions, thus
it is an important tool in forensic gait analysis, security control, and other commercial …
it is an important tool in forensic gait analysis, security control, and other commercial …
Gait identification by joint spatial-temporal feature
S Tong, Y Fu, H Ling, E Zhang - … 2017, Shenzhen, China, October 28-29 …, 2017 - Springer
In order to extract the gait spatial-temporal feature, we propose a novel Long-Short Term
Memory (LSTM) network for gait recognition in this paper. Given a gait sequence, a CNNs …
Memory (LSTM) network for gait recognition in this paper. Given a gait sequence, a CNNs …
Verification-based pairwise gait identification
S Tong, Y Fu, H Ling - 2017 IEEE international conference on …, 2017 - ieeexplore.ieee.org
Convolution neural networks (CNNs) have been shown to be effective to produce state of
the art results for gait recognition recently, which attracts more and more researchers' …
the art results for gait recognition recently, which attracts more and more researchers' …
Gait recognition based on 3D holoscopic gait energy image
H Ozen, NV Boulgouris, R Swash - … International Conference on …, 2017 - ieeexplore.ieee.org
We present a novel system for gait recognition based on holoscopic rather than
conventional imaging. The system is based on a novel gait template, the Holoscopic Gait …
conventional imaging. The system is based on a novel gait template, the Holoscopic Gait …
Fast and robust framework for view-invariant gait recognition
View-invariant gait recognition is one of the major challenges in identifying people through
their gait. Many researchers have evaluated view angle transformation techniques …
their gait. Many researchers have evaluated view angle transformation techniques …
cvpaper. challenge in 2016: futuristic computer vision through 1,600 papers survey
arXiv:1707.06436v1 [cs.CV] 20 Jul 2017 Page 1 arXiv:1707.06436v1 [cs.CV] 20 Jul 2017
CVPAPER.CHALLENGE IN 2016, JULY 2017 1 cvpaper.challenge in 2016: Futuristic …
CVPAPER.CHALLENGE IN 2016, JULY 2017 1 cvpaper.challenge in 2016: Futuristic …
Hybrid cascade model for face detection in the wild based on normalized pixel difference and a deep convolutional neural network
The main precondition for applications such as face recognition and face de-identification for
privacy protection is efficient face detection in real scenes. In this paper, we propose a …
privacy protection is efficient face detection in real scenes. In this paper, we propose a …
Persistent-homology-based gait recognition
J Lamar-Leon, R Alonso-Baryolo… - arXiv preprint arXiv …, 2017 - arxiv.org
Gait recognition is an important biometric technique for video surveillance tasks, due to the
advantage of using it at distance. In this paper, we present a persistent homology-based …
advantage of using it at distance. In this paper, we present a persistent homology-based …
Investigation of new gait representations for improving gait recognition
C Wattanapanich, H Wei - International Journal of Computer …, 2017 - publications.waset.org
This study presents new gait representations for improving gait recognition accuracy on
cross gait appearances, such as normal walking, wearing a coat and carrying a bag. Based …
cross gait appearances, such as normal walking, wearing a coat and carrying a bag. Based …
[PDF][PDF] Hybrid Cascade Model for Face Detection in the Wild Based on Normalized Pixel Difference and a Deep Convolutional Neural Network
S Ribarić - rubioss.zemris.fer.hr
The main precondition for applications such as face recognition and face de-identification for
privacy protection is efficient face detection in real scenes. In this paper, we propose a …
privacy protection is efficient face detection in real scenes. In this paper, we propose a …