Amir Sjarif, N. N. and Shamsuddin, Siti Mariyam and Mohd. Hashim, Siti Zaiton and Yuhaniz, Siti Sophiayati (2011) Crowd analysis and its applications. In: Software Engineering and Computer Systems: Second International Conference, ICSECS 2011, Kuantan, Pahang, Malaysia, June 27-29, 2011, Proceedings, Part I. Communications in Computer and Information Science . Springer Berlin Heidelberg, London, 687 -697. ISBN 978-3-642-22169-9
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1007/978-3-642-22170-5_59
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.
|Item Type:||Book Section|
|Uncontrolled Keywords:||crowd analysis, pre-processing, object tracking, event behavior recognition|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Divisions:||Computer Science and Information System (Formerly known)|
|Deposited By:||Liza Porijo|
|Deposited On:||04 Dec 2012 07:56|
|Last Modified:||04 Feb 2017 07:22|
Repository Staff Only: item control page