A novel hardware architecture for human detection using HOG-SVM co-optimization

ND Nguyen, DH Bui, XT Tran - 2019 IEEE Asia Pacific …, 2019 - ieeexplore.ieee.org
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 …

Mitigating imbalances in heterogeneous feature fusion for multi-class 6D pose estimation

H Wang, H Zhang, W Liu, W Lv, X Gu, K Guo - Knowledge-Based Systems, 2024 - Elsevier
Most 6D pose studies often treat RGB and Depth features equally in fusion, potentially
limiting model generalization, especially in multi-class tasks. This limitation arises from …

FPGA implementation of real-time pedestrian detection using normalization-based validation of adaptive features clustering

T Li, Y Ma, H Shen, T Endoh - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Presently, many researchers and engineers have investigated autonomous driving, which
has significantly influenced the revolution of artificial intelligence (AI). One of the critical …

A multi-class objects detection coprocessor with dual feature space and weighted softmax

Z Xiao, P Xu, X Wang, L Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
A critical mission for mobile robot vision is to detect and classify different objects with low
power consumption. In this brief, a multi-class object detection coprocessor is proposed by …

A multi-core object detection coprocessor for multi-scale/type classification applicable to IoT devices

P Xu, Z Xiao, X Wang, L Chen, C Wang, F An - Sensors, 2020 - mdpi.com
Power efficiency is becoming a critical aspect of IoT devices. In this paper, we present a
compact object-detection coprocessor with multiple cores for multi-scale/type classification …

FPGA-based object detection processor with HOG feature and SVM classifier

F An, P Xu, Z Xiao, C Wang - 2019 32nd IEEE International …, 2019 - ieeexplore.ieee.org
Computer vision is an important sensing technique to translate the information to decisions.
In robotic applications, object detection is a critical skill to perform tasks for robots in complex …

A Comparative Hardware Implementation of Histogram of Oriented Gradients as a Descriptor in Embedded Tracking of Swarm Robots

D Legarda, K Pérez, DM Muñoz - Journal of Parallel and Distributed …, 2024 - Elsevier
Abstract The Histogram of Oriented Gradients (HOG) algorithm is widely utilized in image
processing for tasks such as detection, classification, and tracking. However, several …

A diagonally oriented novel feature extractor for pedestrian detection and its efficient hardware implementation

K Kumar, RK Mishra - … Transactions on Circuits and Systems for …, 2021 - ieeexplore.ieee.org
Pedestrian detection is an important issue in an intelligent transportation system and
involves complex hardware architecture. This high complexity and low detection accuracy …

An adaptive hardware architecture using quantized hog features for object detection

ND Nguyen, DH Bui, FA Hussin… - … Conference on IC …, 2022 - ieeexplore.ieee.org
This article presents an adaptive hardware architecture for high-performance object
detection using Histogram of Oriented Gradient (HOG) features in combination with …

A high frame-rate of cell-based histogram-oriented gradients human detector architecture implemented in field programmable gate arrays

S Fuada, T Adiono, H Kasan - IAES International Journal of …, 2023 - search.proquest.com
In respect of the accuracy, one of the well-known techniques for human detection is the
histogram-oriented gradients (HOG) method. Unfortunately, the HOG feature calculation is …