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Global security concerns have raised a proliferation of video surveillance devices. Intelligent surveillance systems seek to discover possible threats automatically and raise alerts. Being able to identify the surveyed object can help…

Computer Vision and Pattern Recognition · Computer Science 2020-05-06 Tracey K. M. Lee , Mohammed Belkhatir , Saeid Sanei

Mixed Reality (MR) systems capture continuous video streams that expose bystanders' and collaborators' gait patterns -- a biometric revealing sensitive attributes including age, gender, and health conditions. We show that video-based gait…

Human-Computer Interaction · Computer Science 2025-12-11 Diana Romero , Athina Markopoulou , Salma Elmalaki

Gait analysis from videos obtained from a smartphone would open up many clinical opportunities for detecting and quantifying gait impairments. However, existing approaches for estimating gait parameters from videos can produce physically…

Computer Vision and Pattern Recognition · Computer Science 2024-02-21 Nikolaos Smyrnakis , Tasos Karakostas , R. James Cotton

The gait, as a kind of soft biometric characteristic, can reflect the distinct walking patterns of individuals at a distance, exhibiting a promising technique for unrestrained human identification. With largely excluding gait-unrelated cues…

Computer Vision and Pattern Recognition · Computer Science 2024-12-17 Dongyang Jin , Chao Fan , Weihua Chen , Shiqi Yu

Human gait, which is a new biometric aimed to recognize individuals by the way they walk have come to play an increasingly important role in visual surveillance applications. In this paper a novel hybrid holistic approach is proposed to…

Computer Vision and Pattern Recognition · Computer Science 2011-09-01 L. R Sudha , Dr. R Bhavani

Motion ability is one of the most important human properties, including gait as a basis of human transitional movement. Gait, as a biometric for recognizing human identities, can be non-intrusively captured signals using wearable or…

Computer Vision and Pattern Recognition · Computer Science 2017-05-05 Vahid Alizadeh

Authentication schemes using tokens or biometric modalities have been proposed to ameliorate the security strength on mobile devices. However, the existing approaches are obtrusive since the user is required to perform explicit gestures in…

Cryptography and Security · Computer Science 2016-02-11 Thang Hoang , Deokjai Choi , Thuc Nguyen

The pedestrian gait features - body sway frequency, amplitude, stride length, and speed, along with pedestrian personal space and directional bias, are important parameters to be used in different pedestrian dynamics studies. Gait feature…

Physics and Society · Physics 2025-04-03 Kanika Jain , Abhishek Gupta , Indranil Saha Dalal , Anurag Tripathi , Shankar Prawesh

Gait recognition is the characterization of unique biometric patterns associated with each individual which can be utilized to identify a person without direct contact. A public gait database with a relatively large number of subjects can…

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 method to extract topological features (the so-called…

Computer Vision and Pattern Recognition · Computer Science 2017-07-24 J. Lamar-Leon , Raul Alonso-Baryolo , Edel Garcia-Reyes , R. Gonzalez-Diaz

Walking is one of the most common modes of terrestrial locomotion for humans. Walking is essential for humans to perform most kinds of daily activities. When a person walks, there is a pattern in it, and it is known as gait. Gait analysis…

Human-Computer Interaction · Computer Science 2022-08-04 Md Shahriar Tasjid , Ahmed Al Marouf

Smart wearable devices (SWDs) collect and store sensitive daily information of many people. Its primary method of identification is still the password unlocking method. However, several studies have shown serious security flaws in that…

Cryptography and Security · Computer Science 2024-02-27 Yu Su , Yongjiao Li , Zhu Cao

Proximity detection in indoor environments based on WiFi signals has gained significant attention in recent years. Existing works rely on the dynamic signal reflections and their extracted features are dependent on motion strength. To…

Signal Processing · Electrical Eng. & Systems 2024-05-01 Yuqian Hu , Guozhen Zhu , Beibei Wang , K. J. Ray Liu

Gait recognition is one of the most recent emerging techniques of human biometric which can be used for security based purposes having unobtrusive learning method. In comparison with other bio-metrics gait analysis has some special security…

Computer Vision and Pattern Recognition · Computer Science 2022-03-21 Sagor Chandro Bakchy , Md. Rabiul Islam , M. Rasel Mahmud , Faisal Imran

As a kind of biometrics, the gait information of pedestrians has attracted widespread attention from both industry and academia since it can be acquired from long distances without the cooperation of targets. In recent literature, this line…

Computer Vision and Pattern Recognition · Computer Science 2024-03-07 Jingzhe Ma , Dingqiang Ye , Chao Fan , Shiqi Yu

Gait analysis is the study of the systematic methods that assess and quantify animal locomotion. Gait finds a unique importance among the many state-of-the-art biometric systems since it does not require the subject's cooperation to the…

Computer Vision and Pattern Recognition · Computer Science 2021-11-15 Ebenezer R. H. P. Isaac

As a unique biometric feature that can be recognized at a distance, gait has broad applications in crime prevention, forensic identification and social security. To portray a gait, existing gait recognition methods utilize either a gait…

Computer Vision and Pattern Recognition · Computer Science 2018-12-13 Hanqing Chao , Yiwei He , Junping Zhang , Jianfeng Feng

Gait based biometric aims to discriminate among people by the way or manner they walk. It represents a biometric at distance which has many advantages over other biometric modalities. State-of-the-art methods require a limited cooperation…

Computer Vision and Pattern Recognition · Computer Science 2019-04-04 Imad Rida

Gait, an unobtrusive biometric, is valued for its capability to identify individuals at a distance, across external outfits and environmental conditions. This study challenges the prevailing assumption that vision-based gait recognition, in…

Computer Vision and Pattern Recognition · Computer Science 2024-02-14 Andy Cătrună , Adrian Cosma , Emilian Rădoi

Gait, as one of unique biometric features, has the advantage of being recognized from a long distance away, can be widely used in public security. Considering 3D pose estimation is more challenging than 2D pose estimation in practice , we…

Computer Vision and Pattern Recognition · Computer Science 2020-12-10 Na Li , Xinbo Zhao , Chong Ma
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