computer-vision-1

Gait Identification

3260 papers • 126 benchmarks • 313 datasets

This task has no description! Would you like to contribute one?

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in gait-identification-1

Trend

Dataset

Best Model

Actions

No benchmarks available.

Libraries

i

Use these libraries to find gait-identification-1 models and implementations

Datasets

CASIA-B

Subtasks

No subtasks available.

Most implemented papers

Robust Cross-View Gait Recognition with Evidence: A Discriminant Gait GAN (DiGGAN) Approach

Bingzhang Hu, Yu Guan, Yan Gao, Yang Long, Nicholas D. Lane, T. Ploetz•Sun Nov 25 2018

A Discriminant Gait Generative Adversarial Network, namely DiGGAN, is proposed, which can effectively extract view-invariant features for cross-view gait recognition; and more importantly, to transfer gait images to different views -- serving as evidences and showing how the decisions have been made.

17

Content

0

Paper Graph

Deep CSI Learning for Gait Biometric Sensing and Recognition

Kalvik Jakkala, Arupjyoti Bhuyan, Zhi Sun, Pu Wang, Zhuo Cheng•Tue Feb 05 2019

An end-to-end deep CSI learning system is developed, which exploits deep neural networks to automatically learn the salient gait features in CSI data that are discriminative enough to distinguish different people.

11 0

Paper Graph

Rotation-Invariant Gait Identification with Quaternion Convolutional Neural Networks

Bowen Jing, Angela Gu, J. Whaley•Mon Aug 03 2020

This paper introduces Quaternion CNN, a network architecture which is intrinsically layer-wise equivariant and globally invariant under 3D rotations of an array of input vectors and demonstrates how the kernels learned can be visualized as basis-independent but origin- and chirality-dependent trajectory fragments in the euclidean space, thus yielding a novel mode of feature visualization and extraction.

2 0

Paper Graph

Learning rich features for gait recognition by integrating skeletons and silhouettes

Yongzhen Huang, Kang Ma, Yunjie Peng, Saihui Hou, Yang Zhang, Zhiqiang He•Mon Oct 25 2021

A simple yet effective Bimodal Fusion (BiFusion) network which mines discriminative gait patterns in skeletons and integrates with silhouette representations to learn rich features for better identification.

71 0

Paper Graph

Adding a benchmark result helps the community track progress.