Universiti Teknologi Malaysia Institutional Repository

Collision detection: review of methods and recent advances in crowd simulation

Mohd. Suaib, Norhaida and Abdullasim, Nazreen and Zolkifly, Iznora Aini and Bade, Abdullah (2014) Collision detection: review of methods and recent advances in crowd simulation. In: 3rd International Conference on Interactive Digital Media (ICIDM 2014), 2-4 Dec, 2014, Kuala Lumpur, Malaysia.

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Abstract

Crowd simulation is a large complex system that visualizes the behavior of crowd entities' movement and their interactions with the virtual environment. Crowd model is usually integrated into a virtual environment to make the environment alive. In the context of agent-based simulation (as in crowd simulation), it encompasses collision checking between moving agents that are present in the same environment. Hence, it is important to design an efficient and yet effective collision detection in crowd simulation. This is to ensure that it is cost effective toward computational processing usage and still produce a believable behavior. This paper presents a study of collision detection techniques in crowd models, and recent advancement to accelerate the process so that in turn, these efforts could also improve the performance and outcome of crowd model in virtual environment applications.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:collision detection, crowd simulation
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:61500
Deposited By: Fazli Masari
Deposited On:25 Apr 2017 08:39
Last Modified:25 Apr 2017 08:39

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