Tracking Vehicles in traffic Surveillance Video | Zendy

Michael Maire | Zendy; Chandrika Kamath | Zendy

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Tracking Vehicles in traffic Surveillance Video

Author(s) -

Michael Maire,

Chandrika Kamath

Publication year - 2005

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/878616

Subject(s) - computer vision , computer science , salient , tracking (education) , artificial intelligence , computation , video tracking , process (computing) , sequence (biology) , frame (networking) , real time computing , video processing , algorithm , computer network , psychology , pedagogy , biology , genetics , operating system

We present a system for detecting and tracking vehicles in surveillance video. Our algorithm uses a simple motion model to determine salient regions in a sequence of video frames. Similar regions are associated between frames and clustered to yield coherent final tracks. The entire process is automatic and uses computation time that scales according to the size of the input video sequence

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