Tracking vehicles in congested traffic

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.

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