Real-time HOG+SVM based object detection using SoC FPGA for a UHD video stream

Author:

Wasala Mateusz1,Kryjak Tomasz1

Affiliation:

1. AGH University of Science and Technology,Department of Automatic Control and Robotics,Krakow,Poland

Funder

National Science Centre

Publisher

IEEE

Reference25 articles.

1. FPGA-GPU architecture for kernel SVM pedes-trian detection;bauer;CVPR Workshops 2010,2010

2. Hardware Architecture for HOG Feature Extraction

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

4. An efficient hardware implementation of HOG feature extraction for human detection;chen;IEEE T-ITS,2013

5. Real-Time Implementation of Contextual Image Processing Operations for 4K Video Stream in Zynq UltraScale+ MPSoC

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1. FPGA-Based Human Detection System using HOG-SVM Algorithm;2023 International Conference on Advanced Technologies for Communications (ATC);2023-10-19

2. A Review Paper on Object-Detection using the DeepLearning Approach;2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP);2023-04-28

3. 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

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