Application Specific Architecture for Hardware Accelerating HOG-SVM to Achieve High Throughput on HD Frames

Author:

Ranawaka Piyumal,Ekpanyapong Mongkol,Tavares Adriano,Cabral Jorge,Athikulwongse Krit,Silva Vitor

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A novel low-resource consumption and high-speed hardware implementation of HOG feature extraction on FPGA for human detection;Integration;2024-07

2. Parallel and Accelerated Feature Extraction of Manipulative Scene of Space Dim Target;2023 9th International Conference on Control, Automation and Robotics (ICCAR);2023-04-21

3. Extraction of image features based on the HOG method in the HSV color space;2022 IEEE 21st international Ccnference on Sciences and Techniques of Automatic Control and Computer Engineering (STA);2022-12-19

4. A Post-training Quantization Method for the Design of Fixed-Point-Based FPGA/ASIC Hardware Accelerators for LSTM/GRU Algorithms;Computational Intelligence and Neuroscience;2022-05-11

5. Optimized Hardware Vision System for Vehicle Detection based on FPGA and Combining Machine Learning and PSO;Microprocessors and Microsystems;2022-04

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