Exploring Fusion Techniques and Explainable AI on Adapt-FuseNet: Context-Adaptive Fusion of Face and Gait for Person Identification
S Thejaswin, A Prakash, A Nambiar… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Biometrics such as human gait and face play a significant role in vision-based surveillance
applications. However, multimodal fusion of biometric features is a challenging task in non …
applications. However, multimodal fusion of biometric features is a challenging task in non …
Adapt-FuseNet: Context-aware Multimodal Adaptive Fusion of Face and Gait Features using Attention Techniques for Human Identification
A Prakash, S Thejaswin, A Nambiar… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
Biometrics plays a significant role in vision-based surveillance applications. Soft biometrics
such as gait is widely used with face in surveillance tasks like person recognition and re …
such as gait is widely used with face in surveillance tasks like person recognition and re …
Multimodal Adaptive Fusion of Face and Gait Features using Keyless attention based Deep Neural Networks for Human Identification
A Prakash, A Nambiar, A Bernardino - arXiv preprint arXiv:2303.13814, 2023 - arxiv.org
Biometrics plays a significant role in vision-based surveillance applications. Soft biometrics
such as gait is widely used with face in surveillance tasks like person recognition and re …
such as gait is widely used with face in surveillance tasks like person recognition and re …
Context-aware fusion: A case study on fusion of gait and face for human identification in video
Most work on multi-biometric fusion is based on static fusion rules. One prominent limitation
of static fusion is that it cannot respond to the changes of the environment or the individual …
of static fusion is that it cannot respond to the changes of the environment or the individual …
Fusion of gait and face for human identification at the feature level
Combining gait and face to identify humans can incorporate the advantages of both and
improve the final recognition accuracy. Most of the previous work focuses on score-level …
improve the final recognition accuracy. Most of the previous work focuses on score-level …
People identification and tracking through fusion of facial and gait features
This paper reviews the contemporary (face, gait, and fusion) computational approaches for
automatic human identification at a distance. For remote identification, there may exist large …
automatic human identification at a distance. For remote identification, there may exist large …
Gaitnet: An end-to-end network for gait based human identification
Gait recognition is one of the most important techniques for human identification at a
distance. Most current gait recognition frameworks consist of several separate steps …
distance. Most current gait recognition frameworks consist of several separate steps …
On learning disentangled representations for gait recognition
Gait, the walking pattern of individuals, is one of the important biometrics modalities. Most of
the existing gait recognition methods take silhouettes or articulated body models as gait …
the existing gait recognition methods take silhouettes or articulated body models as gait …
Learning gait representations with noisy multi-task learning
Gait analysis is proven to be a reliable way to perform person identification without relying
on subject cooperation. Walking is a biometric that does not significantly change in short …
on subject cooperation. Walking is a biometric that does not significantly change in short …
GaitFi: Robust device-free human identification via WiFi and vision multimodal learning
As an important biomarker for human identification, human gait can be collected at a
distance by passive sensors without subject cooperation, which plays an essential role in …
distance by passive sensors without subject cooperation, which plays an essential role in …