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Jul 10, 2014 · Pedestrian detection has been seen huge progress in recent years, much thanks to the Histograms of Oriented Gradients (HOG) features.
A salience representation for pedestrian detection, Histograms-Of-Salience (HOS) is proposed and investigated, extracted saliency map learned from data by ...
Pedestrian detection has been seen huge progress in recent years, much thanks to the Histograms of Oriented Gradients (HOG) features.
One of the most successful discriminative features for finding people goes to the Histograms of Oriented Gradients (HOG). Although the major contour information ...
Missing: Salience | Show results with:Salience
Oct 22, 2024 · In this paper, we propose a fast and accurate system for detecting pedestrians from a static image. Histogram of Oriented Gradients (HOG) is ...
Missing: Salience | Show results with:Salience
In evaluating object detection models, including pedestrian detection, we focus on three critical metrics: the miss rate (MR), mean average precision (mAP), and ...
In this paper, we propose a novel saliency-based H-S histogram algorithm. Saliency detection can efficiently delete most of the background pixels, which makes ...
Missing: Salience | Show results with:Salience
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Jul 1, 2018 · The method is composed of three steps: a detection which is based on a saliency map in conjunction with a contrast-enhancement technique, a ...
Dec 9, 2024 · First, areas that contain suspected pedestrians are detected using a fusion saliency-based method. Then, the sub-image of the suspected ...
Sep 25, 2017 · HOG Histograms of oriented gradients, proposed by Dalal and Triggs [1], are one of the most successful features in pedestrian detection ...
Missing: Salience | Show results with:Salience