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Histogram of oriented gradients

Known as: Histogram of oriented gradients (HOG), Hog 
The histogram of oriented gradients (HOG) is a feature descriptor used in computer vision and image processing for the purpose of object detection… 
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Papers overview

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2017
2017
Shadows cast by the moving objects may lead to several errors in the process of moving object detection and tracking. Since the… 
2015
2015
The outstanding Histogram-of-Oriented-Gradients (HOG) feature proposed by Dalal and Triggs is a state-of-art technique for… 
2014
2014
This paper addresses two contributions for improving the accuracy and speed of preceding car detection systems. First, it… 
2014
2014
Recently, several approaches for pedestrian detection have been investigated using discriminatively trained part based models… 
2013
2013
Significant researches have been carried out for pedestrian detection in images. The outstanding Histogram-of-Oriented-Gradients… 
2012
2012
Face recognition has become an important issue in many applications such as security systems, credit card verification and… 
2010
2010
3D object retrieval has received much research attention during the last years. To automatically determine the similarity between… 
2010
2010
I implemented a Histogram of Oriented Gradients (HOG) detector for pedestrians using [1]. Although this new implementation gives… 
2008
2008
This paper introduces a novel way to implement graph cut for video object segmentation with shape information. Graph Cut is a… 
2008
2008
In this paper, we propose a fast and stable pedestrian recognition approach using the features from both stereo vision and HOG…