[PDF][PDF] Social pedestrian group detection based on spatiotemporal-oriented energy for crowd video understanding

S Huang, D Huang, MA Khuhroa - … on Internet and Information Systems (TIIS …, 2018 - itiis.org
Social pedestrian groups are the basic elements that constitute a crowd; therefore, detection
of such groups is scientifically important for modeling social behavior, as well as practically …

From Groups to Leaders and Back: Exploring Mutual Predictability Between Social Groups and Their Leaders

F Solera, S Calderara, R Cucchiara - Group and Crowd Behavior for …, 2017 - Elsevier
Recently, social theories and empirical observations identified small groups and leaders as
the basic elements which shape a crowd. This leads to an intermediate level of abstraction …

Context-based trajectory descriptor for human activity profiling

EM Pereira, L Ciobanu… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
The increasing demand for human activity analysis on surveillance scenarios has been
provoking the emerging of new features and concepts that could help to identify the activities …

Crowd video retrieval via deep attribute-embedding graph ranking

Y Zhang, L Qin, S Zhao, R Ji, X Lu… - … on Multimedia and …, 2016 - ieeexplore.ieee.org
Since the number of surveillance cameras in public areas increases very fast, massive
crowd videos are captured and shared, which brings an urgent need to retrieve these videos …

A rule-based methodology and assessment for context-aware privacy

L Teixeira, F Maffra, K Lelu… - 2014 IEEE 6th …, 2014 - ieeexplore.ieee.org
High resolution surveillance systems are essential for security. However, these powerful
tools have been misused by several CCTV operators. The governments and civil society are …

[PDF][PDF] Multiple Object Tracking in Light Microscopy Images Using Graph-based and Deep Learning Methods

K Löffler - 2023 - d-nb.info
Abstract Multiple Object Tracking (MOT) is a problem in image analysis that involves the
localization and linking of objects in an image sequence over time with numerous …

Pedestrian group attributes detection in crowded scenes

AN Shuaibu, AS Malik, I Faye… - … Conference on Advanced …, 2017 - ieeexplore.ieee.org
Recently the traditional video surveillance systems of crowd scenes have been deployed in
various areas of applications; health monitoring, security etc. Monitoring crowds and …

A graphical social topology model for multi-object tracking

S Gao, X Chen, Q Ye, J Xing, A Kuijper, X Ji - arXiv preprint arXiv …, 2017 - arxiv.org
Tracking multiple objects is a challenging task when objects move in groups and occlude
each other. Existing methods have investigated the problems of group division and group …

[图书][B] Pedestrian behavior modeling and understanding in crowds

S Yi - 2016 - search.proquest.com
In large cities with high population densities, the assembly of large crowds in public areas,
such as train stations and shopping malls, causes major concerns on public safety and …

Human and group activity recognition from video sequences

K Stephens - 2016 - etheses.whiterose.ac.uk
A good solution to human activity recognition enables the creation of a wide variety of useful
applications such as applications in visual surveillance, vision-based Human-Computer …