Architectural Study of HOG Feature Extraction Processor for Real-Time Object Detection

By Kosuke Mizuno, Yosuke Terachi, Kenta Takagi, S. Izumi, H. Kawaguchi, M. Yoshimoto. 2012

144 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Eduardo Almeida Soares
2. Plamen Parvanov Angelov
3. Rafael Padilla
4. Sergio L. Netto
5. Thadeu L. B. Dias
6. Eduardo A. B. da Silva
7. Wesley L. Passos

Citations in the corpus

• Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference (2020, methodology): “In image processing problems traditionally size, shape of objects or HoG [18] were used as well as more abstract methods like GIST [19].”
• A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit (2021, methodology): “The histograms of each cell are combined to form the object descriptor, which, associated to a classifier, can perform the object detection task [35,36].”