作者: David Beymer , Jitendra Malik
DOI: 10.1117/12.267150
关键词:
摘要: For the problem of tracking vehicles on freeways using machine vision, existing systems work well in free-flowing traffic. Traffic engineers, however, are more interested monitoring when there is congestion, and current break down for congested traffic due to partial occlusion. We developing a feature-based approach task under congestion. Instead entire vehicles, vehicle sub-features tracked make system robust In order group together that come from same vehicle, constraint common motion used. this paper we describe experiments our tracker/grouper several minutes videotape.