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학술대회 Video Scene Analysis of Interactions between Humans and Vehicles Using Event Context
Cited 5 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
유상원, 이종택, J. K. Aggarwal
International Conference on Image and Video Retrieval (CIVR) 2010, pp.462-469
10MC4600, 실외환경에 강인한 도로 기반 저가형 자율주행기술 개발, 유원필
We present a methodology to estimate a detailed state of a video scene involving multiple humans and vehicles. In order to automatically annotate and retrieve videos containing activities of humans and vehicles, the system must correctly identify their trajectories and relationships even in a complex dynamic environment. Our methodology constructs various joint 3-D models describing possible configurations of humans and vehicles in each image frame and performs maximum-a-posteriori tracking to obtain a sequence of scene states that matches the video. Reliable and view-independent scene state analysis is performed by taking advantage of event context. We focus on the fact that events occurring in a video must contextually coincide with scene states of humans and vehicles. Our experimental results verify that our system using event context is able to analyze and track 3-D scene states of complex human-vehicle interactions more reliably and accurately than previous systems. Copyright © 2010 ACM.
KSP 제안 키워드
Scene analysis, State analysis, Three dimensional(3D), View-independent, complex dynamic environment, maximum a posteriori