<p>Gradient magnitudes and orientations are sampled, and then accumulated into orientation histogram with 8 channels. (a) Cell block. (b) 8 histogram channels. (c) Oriented gradients matrix.</p
Image intensity gradients can be encoded in a 2-dimensional channel representation. This report disc...
We introduce the histogram of oriented gradients (HOG), a tool developed for machine vision that we ...
Many low-level features, as well as varying methods of extraction and interpretation rely on directi...
<p>The detection window is subdivided into spatial cells, which are then concatenated into larger bl...
Detecting human efficiently is an important field of research and has many applications such as inte...
In order to improve pedestrian detection accuracy, histogram of oriented gradient (HOG) feature is w...
Abstract In this paper we propose a human de-tection framework based on an enhanced version of Histo...
In this paper we introduce a new histogram computation method to be used within the histogram of ori...
Histogram of oriented gradient ( HOG) is an efficient feature extraction scheme, and HOG descriptors...
In this paper we propose a human detection framework based on an enhanced version of Histogram of Or...
Many human-centered image and video management systems depend on robust human detection. To extract ...
This study aims to modify Vision Transformer (ViT) to achieve higher accuracy. ViT is a model used i...
Histograms of oriented gradients (HOG) are still one of the most frequently used low-level features ...
In this paper we propose a human detection framework based on an enhanced version of Histogram of Or...
We investigate the estimation of illuminance flow using Histograms of Oriented Gradient features (HO...
Image intensity gradients can be encoded in a 2-dimensional channel representation. This report disc...
We introduce the histogram of oriented gradients (HOG), a tool developed for machine vision that we ...
Many low-level features, as well as varying methods of extraction and interpretation rely on directi...
<p>The detection window is subdivided into spatial cells, which are then concatenated into larger bl...
Detecting human efficiently is an important field of research and has many applications such as inte...
In order to improve pedestrian detection accuracy, histogram of oriented gradient (HOG) feature is w...
Abstract In this paper we propose a human de-tection framework based on an enhanced version of Histo...
In this paper we introduce a new histogram computation method to be used within the histogram of ori...
Histogram of oriented gradient ( HOG) is an efficient feature extraction scheme, and HOG descriptors...
In this paper we propose a human detection framework based on an enhanced version of Histogram of Or...
Many human-centered image and video management systems depend on robust human detection. To extract ...
This study aims to modify Vision Transformer (ViT) to achieve higher accuracy. ViT is a model used i...
Histograms of oriented gradients (HOG) are still one of the most frequently used low-level features ...
In this paper we propose a human detection framework based on an enhanced version of Histogram of Or...
We investigate the estimation of illuminance flow using Histograms of Oriented Gradient features (HO...
Image intensity gradients can be encoded in a 2-dimensional channel representation. This report disc...
We introduce the histogram of oriented gradients (HOG), a tool developed for machine vision that we ...
Many low-level features, as well as varying methods of extraction and interpretation rely on directi...
DOI
Add to ORKG