Pedestrian detection is a key problem in computer vision and is currently addressed with
increasingly complex solutions involving compute-intensive features and classification …

This article presents an application-optimized QVGA image sensor for low-power, always-on
object detection using histograms of oriented gradients (HOG). In contrast to conventional …

Sparsification reduces the size of networks while preserving structural and statistical
properties of interest. Various sparsifying algorithms have been proposed in different …

A real-time and energy-efficient multi-scale object detector hardware implementation is
presented in this paper. Detection is done using Histogram of Oriented Gradients (HOG) …

In this paper, we present a real-time and energy-efficient multi-scale object detector using
Histogram of Oriented Gradient (HOG) features and Support Vector Machine (SVM) …

Histogram of oriented gradients (HOG) is considered as the most promising algorithm in
human detection, however its complexity and intensive computational load is an issue for …

Histogram of Oriented Gradient (HOG) in combination with Supported Vector Machine (SVM)
has been used as an efficient method for object detection in general and human detection in …

Histogram of oriented gradients (HOG) descriptor and support vector machine (SVM)
classifier have been considered as a very efficient and robust tools used in the development …

The Encyclopedia of Image Processing presents a vast collection of well-written articles
covering image processing fundamentals (eg color theory, fuzzy sets, cryptography) and …

This article surveys the landscape of semiconductor materials and devices research for the
acceleration of machine learning (ML) algorithms. We observe a disconnect between the …