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 …
A survey on gait recognition
C Wan, L Wang, VV Phoha - ACM Computing Surveys (CSUR), 2018 - dl.acm.org
Recognizing people by their gait has become more and more popular nowadays due to the
following reasons. First, gait recognition can work well remotely. Second, gait recognition …
following reasons. First, gait recognition can work well remotely. Second, gait recognition …
Multi-view large population gait dataset and its performance evaluation for cross-view gait recognition
This paper describes the world's largest gait database with wide view variation, the “OU-ISIR
gait database, multi-view large population dataset (OU-MVLP)”, and its application to a …
gait database, multi-view large population dataset (OU-MVLP)”, and its application to a …
Performance evaluation of model-based gait on multi-view very large population database with pose sequences
Model-based gait recognition is considered to be promising due to the robustness against
some variations, such as clothing and baggage carried. Although model-based gait …
some variations, such as clothing and baggage carried. Although model-based gait …
CASIA-E: a large comprehensive dataset for gait recognition
Gait recognition plays a special role in visual surveillance due to its unique advantage, eg,
long-distance, cross-view and non-cooperative recognition. However, it has not yet been …
long-distance, cross-view and non-cooperative recognition. However, it has not yet been …
The effect of time on gait recognition performance
Many studies have shown that it is possible to recognize people by the way they walk.
However, there are a number of covariate factors that affect recognition performance. The …
However, there are a number of covariate factors that affect recognition performance. The …
Silhouette-based gait recognition via deterministic learning
W Zeng, C Wang, F Yang - Pattern recognition, 2014 - Elsevier
In this paper, we present a new silhouette-based gait recognition method via deterministic
learning theory, which combines spatio-temporal motion characteristics and physical …
learning theory, which combines spatio-temporal motion characteristics and physical …
Formation energies and relative stability of perfect and faulted dislocation loops in silicon
F Cristiano, J Grisolia, B Colombeau, M Omri… - Journal of Applied …, 2000 - pubs.aip.org
A study of the relative thermal stability of perfect and faulted dislocation loops formed during
annealing of preamorphized silicon wafers has been carried out. A series of transmission …
annealing of preamorphized silicon wafers has been carried out. A series of transmission …
An effective power quality monitor placement method utilizing quantum-inspired particle swarm optimization
This paper presents an effective power quality monitor (PQM) placement method for voltage
sag assessment by utilizing quantum-inspired particle swarm optimization technique. The …
sag assessment by utilizing quantum-inspired particle swarm optimization technique. The …
A survey of deep learning solutions for multimedia visual content analysis
The increasing use of social media networks on handheld devices, especially smartphones
with powerful built-in cameras, and the widespread availability of fast and high bandwidth …
with powerful built-in cameras, and the widespread availability of fast and high bandwidth …