A comprehensive survey of multi-view video summarization
There has been an exponential growth in the amount of visual data on a daily basis
acquired from single or multi-view surveillance camera networks. This massive amount of …
acquired from single or multi-view surveillance camera networks. This massive amount of …
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 …
Lidargait: Benchmarking 3d gait recognition with point clouds
Video-based gait recognition has achieved impressive results in constrained scenarios.
However, visual cameras neglect human 3D structure information, which limits the feasibility …
However, visual cameras neglect human 3D structure information, which limits the feasibility …
Noninvasive human activity recognition using millimeter-wave radar
The millimeter-wave (mmWave) radar technology has attracted significant attention because
it is susceptible to environmental lighting, wall shielding, and privacy concern. This article …
it is susceptible to environmental lighting, wall shielding, and privacy concern. This article …
Person-in-WiFi: Fine-grained person perception using WiFi
Fine-grained person perception such as body segmentation and pose estimation has been
achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (eg RF-Pose) …
achieved with many 2D and 3D sensors such as RGB/depth cameras, radars (eg RF-Pose) …
Feddl: Federated learning via dynamic layer sharing for human activity recognition
Deep learning has been increasingly applied to improve human activity recognition (HAR)
accuracy and reduce the human efforts of handcrafted feature extractions. Federated …
accuracy and reduce the human efforts of handcrafted feature extractions. Federated …
Intra-class variations with deep learning-based gait analysis: A comprehensive survey of covariates and methods
A Parashar, RS Shekhawat, W Ding, I Rida - Neurocomputing, 2022 - Elsevier
Gait recognition is an essential biometric technique that recognizes humans at a distance
through their unique walking style. In the present era of deep learning, automated gait …
through their unique walking style. In the present era of deep learning, automated gait …
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 …
Multi-scale neighborhood feature extraction and aggregation for point cloud segmentation
D Li, G Shi, Y Wu, Y Yang… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Learning and extracting high-level features from point cloud is the key to improving the
segmentation performances on point clouds for many networks. At present, many networks …
segmentation performances on point clouds for many networks. At present, many networks …
LiDAR-based detection, tracking, and property estimation: A contemporary review
Object detection, Person tracking, and Person property estimation (PPE) are identical
innovation areas trying to improve their accuracy in different parameters to fit various real …
innovation areas trying to improve their accuracy in different parameters to fit various real …