Gait Identification
4 papers with code • 0 benchmarks • 1 datasets
Benchmarks
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CASIA-B
Latest papers with no code
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models
We present a detailed review of the human pose estimation and gait analysis that make the skeleton-based approaches possible.
Gait Recognition Using 3-D Human Body Shape Inference
Gait recognition, which identifies individuals based on their walking patterns, is an important biometric technique since it can be observed from a distance and does not require the subject's cooperation.
Human Gait Analysis using Gait Energy Image
We use GEI which gives relatively all information about all the frames in the cycle and results in better performance than other feature of gait analysis.
Generative GaitNet
Understanding the relation between anatomy andgait is key to successful predictive gait simulation.
Gait Identification under Surveillance Environment based on Human Skeleton
Most existing gait identification methods extract features from gait videos and identify a probe sample by a query in the gallery.
Gait-based Human Identification through Minimum Gait-phases and Sensors
It was shown that it is possible to achieve high accuracy of over 95. 5 percent by monitoring a single phase of the whole gait cycle through only a single sensor.
Binarized Neural Networks for Resource-Constrained On-Device Gait Identification
User authentication through gait analysis is a promising application of discriminative neural networks -- particularly due to the ubiquity of the primary sources of gait accelerometry, in-pocket cellphones.
Taking Modality-free Human Identification as Zero-shot Learning
There have been numerous methods proposed for human identification, such as face identification, person re-identification, and gait identification.
You Are How You Walk: Uncooperative MoCap Gait Identification for Video Surveillance with Incomplete and Noisy Data
This work offers a design of a video surveillance system based on a soft biometric -- gait identification from MoCap data.
DeepKey: An EEG and Gait Based Dual-Authentication System
Biometric authentication involves various technologies to identify individuals by exploiting their unique, measurable physiological and behavioral characteristics.
