A novel hardware architecture for human detection using HOG-SVM co-optimization
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 …
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
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 …
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 …
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
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 …
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
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 …
compact object-detection coprocessor with multiple cores for multi-scale/type classification …
FPGA-based object detection processor with HOG feature and SVM classifier
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 …
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 …
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
Pedestrian detection is an important issue in an intelligent transportation system and
involves complex hardware architecture. This high complexity and low detection accuracy …
involves complex hardware architecture. This high complexity and low detection accuracy …
An adaptive hardware architecture using quantized hog features for object detection
This article presents an adaptive hardware architecture for high-performance object
detection using Histogram of Oriented Gradient (HOG) features in combination with …
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
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 …
histogram-oriented gradients (HOG) method. Unfortunately, the HOG feature calculation is …