A semantic environment model for crowd simulation in multilayered complex environment

Author(s):  
Hao Jiang ◽  
Wenbin Xu ◽  
Tianlu Mao ◽  
Chunpeng Li ◽  
Shihong Xia ◽  
...  
2009 ◽  
Vol 8 (3) ◽  
pp. 57-62 ◽  
Author(s):  
Mohd Shahrizal Sunar ◽  
Mohamed Adi Bin Mohamed Azahar ◽  
Mohd Khalid Mokhtar ◽  
Daut Daman

Previously, crowd simulation plays small part or probably ignored in virtual heritage. Architectures or artifacts bit more focused to be reconstructed into virtual environment. By inserting crowd into simulation of virtual heritage, it will give more impact and achieve higher realism level to the reconstructed site. Before inserting the crowd into virtual environment, a research needs to be done to manage the complex environment of virtual heritage and the crowd itself. This paper presents a framework with a vision to reduce the computation cost for rendering crowd simulation in virtual heritage environment while maintaining realisms of the scene. We first review the existing acceleration techniques applied on crowd rendering. Then we introduce a framework that will integrate acceleration techniques for crowd simulation in virtual heritage.


2010 ◽  
Vol 9 (3) ◽  
pp. 27-32 ◽  
Author(s):  
Tianlu Mao ◽  
Hao Jiang ◽  
Shihong Xia ◽  
Zhaoqi Wang

Human crowd simulation is a new technology in the virtual reality field. Since it could simulate evacuation, it has strong demands in risk assessment for public buildings. In this paper we discuss the development of the main related research topics, including semantic description for virtual environments and crowd models which generate continuum human flow. Additionally, we introduce a system named Guarder that is designed for human crowd simulation and is suit for simulating evacuation in public buildings. We also demonstrate some simulation results of Guarder to show that it could efficiently simulate evacuation in a large-scale and complex environment.


Author(s):  
Graeme D. Ruxton ◽  
William L. Allen ◽  
Thomas N. Sherratt ◽  
Michael P. Speed

Background matching is perhaps the most obvious phenomenon that falls under the label of crypsis. Stevens & Merilaita (2011) describe background matching as situations where ‘the appearance generally matches the colour, lightness and pattern of one (specialized) or several (compromise) background types’. There are fascinating examples of species that behaviourally select their microhabitat and orientation so as to enhance similarity to features of the background, and species that change aspects of their appearance in ways that enhance background matching. The degree of background matching is often imperfect; this is thought to commonly reflect the fact that organisms are viewed against a range of different backgrounds, and so they have evolved appearance traits that offer some degree of matching against several of these. Understanding background matching addresses important issues in evolutionary biology, such as the maintenance of polymorphisms. We discuss how predation rates that depend on the frequency of morphs in the environment may be a common explanation for polymorphic crypsis, and the role search images might play in this process. Achieving highly effective background matching in a complex environment is difficult and this may create room for other types of crypsis.


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