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arXiv · 1512.08648

A framework for robust object multi-detection with a vote aggregation and a cascade filtering

Grzegorz Kurzejamski·Jacek Zawistowski·Grzegorz Sarwas
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Abstract

This paper presents a framework designed for the multi-object detection purposes and adjusted for the application of product search on the market shelves. The framework uses a single feedback loop and a pattern resizing mechanism to demonstrate the top effectiveness of the state-of-the-art local features. A high detection rate with a low false detection chance can be achieved with use of only one pattern per object and no manual parameters adjustments. The method incorporates well known local features and a basic matching process to create a reliable voting space. Further steps comprise of metric transformations, graphical vote space representation, two-phase vote aggregation process and a cascade of verifying filters.

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Grzegorz Kurzejamski, Jacek Zawistowski, Grzegorz Sarwas. 2015-12-29. A framework for robust object multi-detection with a vote aggregation and a cascade filtering. https://arxiv.org/abs/1512.08648

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