東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Animating autonomous pedestrians.

Shao, Wei.

Linked to FindBook

Google Book

Amazon

博客來

Animating autonomous pedestrians.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Animating autonomous pedestrians./
Author:	Shao, Wei.
Description:	184 p.
Notes:	Source: Dissertation Abstracts International, Volume: 67-02, Section: B, page: 0993.
Contained By:	Dissertation Abstracts International67-02B.
Subject:	Computer Science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3205679
ISBN:	9780542542961

Animating autonomous pedestrians.
Shao, Wei.

Animating autonomous pedestrians. - 184 p.

Source: Dissertation Abstracts International, Volume: 67-02, Section: B, page: 0993.

Thesis (Ph.D.)--New York University, 2006.

State-of-the-art computer graphics modeling and rendering techniques can be used to create photorealistic imagery of static objects, but they do not yet enable the automated animation of human beings with anywhere near as much fidelity. This thesis addresses the challenge. Our focus is the emulation of real pedestrians in urban environments. To this end, we develop an entirely autonomous pedestrian model that requires no centralized, global control whatsoever and is capable of performing a variety of activities in synthetic urban spaces, such as a virtual train station. The comprehensive artificial life modeling approach we adopt integrates motor, perceptual, behavioral, and cognitive components, making each of our virtual pedestrians a highly capable individual.

ISBN: 9780542542961Subjects--Topical Terms:

626642
Computer Science.

Animating autonomous pedestrians.
LDR:02820nmm 2200313 4500 001 1822574
005 20061129144534.5
008 130610s2006 eng d
020 $a 9780542542961
035 $a (UnM)AAI3205679
035 $a AAI3205679
040 $a UnM $c UnM
100 1 $a Shao, Wei. $3 1911714
245 1 0 $a Animating autonomous pedestrians.
300 $a 184 p.
500 $a Source: Dissertation Abstracts International, Volume: 67-02, Section: B, page: 0993.
500 $a Adviser: Demetri Terzopoulos.
502 $a Thesis (Ph.D.)--New York University, 2006.
520 $a State-of-the-art computer graphics modeling and rendering techniques can be used to create photorealistic imagery of static objects, but they do not yet enable the automated animation of human beings with anywhere near as much fidelity. This thesis addresses the challenge. Our focus is the emulation of real pedestrians in urban environments. To this end, we develop an entirely autonomous pedestrian model that requires no centralized, global control whatsoever and is capable of performing a variety of activities in synthetic urban spaces, such as a virtual train station. The comprehensive artificial life modeling approach we adopt integrates motor, perceptual, behavioral, and cognitive components, making each of our virtual pedestrians a highly capable individual.
520 $a To support a variety of natural interactions between pedestrians and their environment, we represent the latter using hierarchical data structures that efficiently execute the perceptual queries of pedestrians to sustain their behavioral responses and enable them to plan their actions on global and local scales.
520 $a The animation system implemented using the above models enables us to run long-term simulations of pedestrians in fairly large urban environments without manual intervention. Real-time simulation can be achieved for over a thousand autonomous pedestrians. With each pedestrian under his/her own autonomous control, the characters imbue the virtual world with liveliness, social (dis)order, and a realistically complex dynamic.
520 $a In addition to the automated animation of human activity in a virtual train station, we demonstrate our autonomous pedestrian simulator in the context of virtual archaeology for visualizing urban social life in reconstructed archaeological sites. Our pedestrian simulator has also served as the basis of a testbed for designing and experimenting with visual sensor networks in the field of computer vision.
590 $a School code: 0146.
650 4 $a Computer Science. $3 626642
650 4 $a Artificial Intelligence. $3 769149
690 $a 0984
690 $a 0800
710 2 0 $a New York University. $3 515735
773 0 $t Dissertation Abstracts International $g 67-02B.
790 1 0 $a Terzopoulos, Demetri, $e advisor
790 $a 0146
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3205679