Paper Info
Title
Crowd Analysis and Its Applications.
Abstract
Crowd is a unique group of individual or something involves community or society. The phenomena of the crowd are very familiar in a variety of research discipline such as sociology, civil and physic. Nowadays, it becomes the most active-oriented research and trendy topic in computer vision. Traditionally, three processing steps involve in crowd analysis, and these include pre-processing, object detection and event/behavior recognition. Meanwhile, the common process for analysis in video sequence of crowd information extraction consists of Pre-Processing, Object Tracking, and Event/Behavior Recognition. In terms of behavior detection, the crowd density estimation, crowd motion detection, crowd tracking and crowd behavior recognition are adopted. In this paper, we give the general framework and taxonomy of pattern in detecting abnormal behavior in a crowd scene. This study presents the state of art of crowd analysis, taxonomy of the common approach of the crowd analysis and it can be useful to researchers and would serve as a good introduction related to the field undertaken.
Year
DOI
Venue
2011
10.1007/978-3-642-22170-5_59
Communications in Computer and Information Science
Keywords
Field
DocType
Crowd analysis,pre-processing,object tracking,event behavior recognition
Object detection,Motion detection,Video tracking,Information extraction,Human–computer interaction,Crowd simulation,Behavior recognition,Crowd analysis,Multimedia,Crowd psychology
Conference
Volume
ISSN
Citations 
179
1865-0929
2
PageRank 
References 
Authors
0.39
14
4
Name
Order
Citations
PageRank
Nilam Nur Amir Sjarif142.22
Siti Mariyam Hj. Shamsuddin221318.42
Siti Zaiton Mohd Hashim329526.44
Siti Yuhaniz4505.19