In this work, we present AerialGait, a comprehensive dataset for aerial-ground gait recognition. This dataset comprises 82,454 sequences totaling over 10 million frames from 533 subjects, captured from both aerial and ground perspectives. To align with ...

Gait recognition has attracted increasing attention from academia and industry as a human recognition technology from a distance in non-intrusive ways without requiring cooperation. Although advanced methods have achieved impressive success in lab ...

Existing studies for gait recognition primarily utilized sequences of either binary silhouette or human parsing to encode the shapes and dynamics of persons during walking. Silhouettes exhibit accurate segmentation quality and robustness to environmental ...

Recently, WiFi-based gait recognition technologies have been widely studied. However, most of them work on a strong assumption that users need to walk continuously and periodically under a constant body posture. Thus, a significant challenge arises when ...

Multi-gait synthesis aims to describe the mapping relationship between single gaits and multi-gaits, allowing predictions of multi-gait forms based on the single gait forms of each participant. Our goal is to utilize a dual-branch input pipeline, ...

Gait recognition, which uses individuals’ walking patterns for identity recognition, is an emerging biometric technology. However, in real-world applications, occlusion factors can easily affect the performance of gait recognition. In recent literatures,...

We present a novel adversarial model for authentication systems that use gait patterns recorded by the inertial measurement unit (IMU) built into smartphones. The attack idea is inspired by and named after the concept of a dictionary attack on knowledge (...

Radio Frequency (RF)-based gait recognition has emerged as a promising technology to authenticate individuals in a pervasive and unobtrusive way. However, a fundamental challenge remains in collecting extensive data of the same user in the same ...

Binary silhouettes and keypoint-based skeletons have dominated human gait recognition studies for decades since they are easy to extract from video frames. Despite their success in gait recognition for in-the-lab environments, they usually fail in real-...

Gait recognition is an emerging biometric technology for identifying pedestrians based on their unique walking patterns. In past gait recognition, global-based methods are inadequate to meet the growing demand for accuracy, while commonly used part-based ...

Medical research shows that human gait is unique, according to which human identity can be recognised. At present, convolutional neural network (CNN) is not stable enough in human gait classification, and most gait recognition methods based on contour or ...

Gait recognition is a unique biometric technique that can be performed at a long distance non-cooperatively and has broad applications in public safety and intelligent traffic systems. The previous gait works focus more on minimizing the intra-class ...

This paper investigates a new fine-grained video generation task, namely Multi-view Gait Video Synthesis, where the generation model works on a video of a walking human of arbitrary viewpoint and creates multi-view renderings of the subject. This task ...

Existing studies for gait recognition are dominated by in-the-lab scenarios. Since people live in real-world senses, gait recognition in the wild is a more practical problem that has recently attracted the attention of the community of multimedia and ...

In order to extend ambient assisted living technologies for semi-autonomous people from smart homes to smart cities, it is necessary to recognize vulnerable people in the city. Gait-based approaches have been used to perform soft biometrics recognition,...

Neurodegenerative diseases affect a large part of the population in the world and also in Mexico, deteriorating gradually the quality of patients’ life. Therefore, it is important to diagnose them with a high degree of reliability. In order to solve it, ...

Person identification using biometric features is an effective method for recognizing and authenticating the identity of a person. Multimodal biometric systems combine different biometric modalities in order to make better predictions as well as for ...

Recognition of human gait in the wild remains a weakly studied problem due to many factors. One of these factors is how to estimate the distance and location of a person in relation to the camera in order to find the best position for visual ...

A smartphone-based gait recognition system is very interesting research in surveillance. Its goal is to recognize a target user from their walking pattern using the inertial signal. However, the performance in realistic scenarios is unsatisfactory due ...

The current technology related to athlete gait recognition has shortcomings such as complicated equipment and high cost, and there are also certain problems in recognition accuracy and recognition efficiency. In order to improve the efficiency of athletes’...