A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets, and Challenges
Gait recognition aims to identify a person at a distance, serving as a promising solution for
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …
long-distance and less-cooperation pedestrian recognition. Recently, significant advances …
AttenGait: Gait recognition with attention and rich modalities
Current gait recognition systems employ different types of manual attention mechanisms,
like horizontal cropping of the input data to guide the training process and extract useful gait …
like horizontal cropping of the input data to guide the training process and extract useful gait …
CLASH: Complementary Learning with Neural Architecture Search for Gait Recognition
Gait recognition, which aims at identifying individuals by their walking patterns, has
achieved great success based on silhouette. The binary silhouette sequence encodes the …
achieved great success based on silhouette. The binary silhouette sequence encodes the …
It Takes Two: Accurate Gait Recognition in the Wild via Cross-granularity Alignment
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 …
human parsing to encode the shapes and dynamics of persons during walking. Silhouettes …
Edge-oriented adversarial attack for deep gait recognition
Gait recognition is a non-intrusive method that captures unique walking patterns without
subject cooperation, which has emerged as a promising technique across various fields …
subject cooperation, which has emerged as a promising technique across various fields …
Open-Set Biometrics: Beyond Good Closed-Set Models
Biometric recognition has primarily addressed closed-set identification, assuming all probe
subjects are in the gallery. However, most practical applications involve open-set biometrics …
subjects are in the gallery. However, most practical applications involve open-set biometrics …
Adaptive Knowledge Transfer for Weak-Shot Gait Recognition
Most works for cloth-changing gait recognition assume that the sequences of different
clothes are accessible for each subject in the training set, which, however, is almost …
clothes are accessible for each subject in the training set, which, however, is almost …
Cross-View Gait Recognition Model Combining Multi-Scale Feature Residual Structure and Self-Attention Mechanism
J Wang, J Guo, Z Xu - IEEE Access, 2023 - ieeexplore.ieee.org
In the cross-view condition, the gait recognition rate caused by the vastly different gait
silhouette maps is substantially reduced. To improve the accuracy of gait recognition under …
silhouette maps is substantially reduced. To improve the accuracy of gait recognition under …
GaitContour: Efficient Gait Recognition based on a Contour-Pose Representation
Gait recognition holds the promise to robustly identify subjects based on walking patterns
instead of appearance information. In recent years, this field has been dominated by …
instead of appearance information. In recent years, this field has been dominated by …
AerialGait: Bridging Aerial and Ground Views for Gait Recognition
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 …
recognition. This dataset comprises 82,454 sequences totaling over 10 million frames from …