PPT-Crowd simulation
Author : karlyn-bohler | Published Date : 2016-04-20
Taku Komura Animating Crowds We have been going through methods to simulate individual characters What if we want to simulate the movement of crowds Pedestrians
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Crowd simulation: Transcript
Taku Komura Animating Crowds We have been going through methods to simulate individual characters What if we want to simulate the movement of crowds Pedestrians in the streets Flock of birds school of fishes. Tova. Milo. . Think of humanity and its collective mind expanding…. . . But first . a story. …. The research frontier. 2. Crowd Mining. Let us put this in research terminology…. Imprecise, under-specified questions. . By . Mankyu. Sung, Michael Gleicher . and. . Stephen . Chenney. authors. Mankyu. Sung. . Scalable, Controllable, Efficient . and convincing crowd simulation. (2005). Michael Gleicher . “I have a bad case of Academic Attention . Look at how we have translated each of the following phrases:. o. mnes. . clientes. , . occulis. in . ianua. . defixis. , . patroni. . favorem. . exspectabant. .. All the clients, . their eyes fixed on the doorway. Workshop. . Prof. . Tova. Milo. Slava. . Novgorodov. Tel Aviv University 2014/2015. Projects. The team size is around 4 students and should be decided by the next week. The projects should be done during the semester. Introduction to Microscopic Crowd Simulation Techniques. Outline. Introduction to Crowd Simulation. Fields of Study & Applications. Visualization vs. Realism. Microscopic vs. Macroscopic. Flocking. Algorithms, Machines & People. Michael Franklin. EECS, Computer Science. UC Berkeley. Emory U. December 7, 2011. Defining the Big Data Problem. 2. Size. +. Complexity. =. Answers that don’t meet. 8 Mile (Last Rap Battle Scene). Directed by Curtis Hanson. Daniel L. Colby B. Matt H. Mike M. Scene. http://www.youtube.com/watch?v=eW7walMFotY. . Purpose. This presents Eminem facing Papa Doc in another freestyle rap battle. They faced off once before and Eminem choked in front of the crowd and was booed off stage. 24. For a man named Demetrius, a silversmith, who made silver shrines of Artemis, brought no little business to the craftsmen. . 25. These he gathered together, with the workmen in similar trades, and said, “Men, you know that from this business we have our wealth. . Jia. . Deng Olga . Russakovsky. . . . Jonathan Krause, Michael . Bernstein . Alexander Berg. . . Li . Fei-Fei. Table. Chair. Horse. Dog. Cat. Bird. +. +. -. -. -. -. Task: . Crowdsource. Authors: . Manoop. . Talasila. , Reza Curtmola, and Cristian . Borcea. Presenter: . Hillol. . Debnath. Department . of Computer Science. New Jersey Institute of . Technology. Crowd. Sensing. Background – Crowd Sensing. Guo. , . Aditya. . Parameswaran. , . Hyunjung. Park, . Alkis. . Polyzotis. , . Petros. . Venetis. , Jennifer . Widom. Stanford and UC Santa Cruz. Scoop. LARGE CROWD COUNTING by MIRTES CORREA RET 2018 Wekiva High School – Orange County (Apopka) 5 th year teaching Joanie Selman, MSN, RN. Med-. Surg. Course Coordinator. DeWitt School of Nursing. Stephen F. Austin State University. Background. DeWitt School of Nursing at . Stephen F. Austin State University. 10/1/2013. 2. Background. - . Crowd (Data) sourcing. 2. Crowd Mining. Crowdsourcing. Challenges (or, shameless self-advertisement . ). What questions to ask? . [SIGMOD13, VLDB13. ] .
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