nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A bio-inspired multi-camera system for dynamic crowd analysis
|
Chrysostomou, Dimitrios |
|
2014 |
44 |
C |
p. 141-151 11 p. |
artikel |
2 |
Abnormal behavior detection using hybrid agents in crowded scenes
|
Cho, Sang-Hyun |
|
2014 |
44 |
C |
p. 64-70 7 p. |
artikel |
3 |
Activity analysis in crowded environments using social cues for group discovery and human interaction modeling
|
Tran, K.N. |
|
2014 |
44 |
C |
p. 49-57 9 p. |
artikel |
4 |
An agent-based crowd behaviour model for real time crowd behaviour simulation
|
Kountouriotis, Vassilios |
|
2014 |
44 |
C |
p. 30-38 9 p. |
artikel |
5 |
Bayesian Human Motion Intentionality Prediction in urban environments
|
Ferrer, Gonzalo |
|
2014 |
44 |
C |
p. 134-140 7 p. |
artikel |
6 |
Contextual anomaly detection in crowded surveillance scenes
|
Leach, Michael J.V. |
|
2014 |
44 |
C |
p. 71-79 9 p. |
artikel |
7 |
Crowd-Z: The user-friendly framework for crowd simulation on an architectural floor plan
|
Zawidzki, Machi |
|
2014 |
44 |
C |
p. 88-97 10 p. |
artikel |
8 |
Detection of static groups and crowds gathered in open spaces by texture classification
|
Manfredi, Marco |
|
2014 |
44 |
C |
p. 39-48 10 p. |
artikel |
9 |
Editors-in-Chief, Area/Associate/Advisory/Founding Editors
|
|
|
2014 |
44 |
C |
p. IFC- 1 p. |
artikel |
10 |
Improving counterflow detection in dense crowds with scene features
|
Wu, Ziyan |
|
2014 |
44 |
C |
p. 152-160 9 p. |
artikel |
11 |
Mobility analysis of the aged pedestrians by experiment and simulation
|
Shimura, Kenichiro |
|
2014 |
44 |
C |
p. 58-63 6 p. |
artikel |
12 |
Motion feature filtering for event detection in crowded scenes
|
O’Gorman, Lawrence |
|
2014 |
44 |
C |
p. 80-87 8 p. |
artikel |
13 |
Pattern recognition and crowd analysis
|
Bandini, Stefania |
|
2014 |
44 |
C |
p. 1-2 2 p. |
artikel |
14 |
Performance evaluation of crowd image analysis using the PETS2009 dataset
|
Ferryman, James |
|
2014 |
44 |
C |
p. 3-15 13 p. |
artikel |
15 |
Real-time video event detection in crowded scenes using MPEG derived features: A multiple instance learning approach
|
Xu, Jingxin |
|
2014 |
44 |
C |
p. 113-125 13 p. |
artikel |
16 |
Scene invariant multi camera crowd counting
|
Ryan, David |
|
2014 |
44 |
C |
p. 98-112 15 p. |
artikel |
17 |
Towards an integrated approach to crowd analysis and crowd synthesis: A case study and first results
|
Bandini, Stefania |
|
2014 |
44 |
C |
p. 16-29 14 p. |
artikel |
18 |
Unsupervised dense crowd detection by multiscale texture analysis
|
Fagette, Antoine |
|
2014 |
44 |
C |
p. 126-133 8 p. |
artikel |
19 |
Using the Agoraset dataset: Assessing for the quality of crowd video analysis methods
|
Courty, Nicolas |
|
2014 |
44 |
C |
p. 161-170 10 p. |
artikel |