IEEE Trans Vis Comput Graph - Video-based Crowd Synthesis.

Tópicos

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Resumo

As a controllable medium, video-realistic crowds are important for creating the illusion of a populated reality in special effects, games and architectural visualization. While recent progress in simulation and motion captured-based techniques for crowd synthesis has focused on natural macro-scale behavior, this paper addresses the complementary problem of synthesizing crowds with realistic micro-scale behavior and appearance. Example-based synthesis methods such as video textures are an appealing alternative to conventional model-based methods, but current techniques are unable to represent and satisfy constraints between video sprites and the scene. This paper describes how to synthesize crowds by segmenting pedestrians from input videos of natural crowds and optimally placing them into an output video while satisfying environmental constraints imposed by the scene. We introduce crowd tubes, a representation of video objects designed to compose a crowd of video billboards while avoiding collisions between static and dynamic obstacles. The approach consists of representing crowd tube samples and constraint violations with a conflict graph. The maximal independent set yields a dense constraint-satisyfing crowd composition. We present a prototype system for the capture, analysis, synthesis and control of video-based crowds. Several results demonstrate the system's ability to generate videos of crowds which exhibit a variety of natural behaviors.

Resumo Limpo

control medium videorealist crowd import creat illus popul realiti special effect game architectur visual recent progress simul motion capturedbas techniqu crowd synthesi focus natur macroscal behavior paper address complementari problem synthes crowd realist microscal behavior appear examplebas synthesi method video textur appeal altern convent modelbas method current techniqu unabl repres satisfi constraint video sprite scene paper describ synthes crowd segment pedestrian input video natur crowd optim place output video satisfi environment constraint impos scene introduc crowd tube represent video object design compos crowd video billboard avoid collis static dynam obstacl approach consist repres crowd tube sampl constraint violat conflict graph maxim independ set yield dens constraintsatisyf crowd composit present prototyp system captur analysi synthesi control videobas crowd sever result demonstr system abil generat video crowd exhibit varieti natur behavior

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