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- W2187541319 abstract "2 Abstract: In this paper a multi-agent system approach for vehicle detection in image is proposed. The goal is to be able to localize vehicles in a given image. Developed agents are capable of detecting pre-specified shapes after image processing. Cooperation involves communicating hypotheses and resolving conflicts between the interpretations of individual agents. Specifically in the proposed system, eight process agents, consisting of edge, contour, wheel, LPL (License-Plate Line), LPR (License-Plate Rectangle), PCV (Plate-Candidates Verification) and vehicle symmetry agents, were developed for vehicle detection in various outdoor scenes. In the testing data, there are 500 car blobs and 100 non-car blobs. It is shown that the system effectiveness on Detecting vehicles in various outdoor scenes is about 90%." @default.
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- W2187541319 date "2011-01-01" @default.
- W2187541319 modified "2023-09-27" @default.
- W2187541319 title "A Multi-Agent Vision-Based System for Vehicle Detection" @default.
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