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FPGA-GPU architecture for kernel SVM pedestrian detection

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-84800-304-0_13openalex-snapshot
Challenges of Embedded Computer Vision in Automotive Safety Systems
inferredcites →https://doi.org/10.1007/978-3-540-69321-5_8openalex-snapshot
Sliding-Windows for Rapid Object Class Localization: A Parallel Technique
inferredcites →https://doi.org/10.1007/s11263-005-6644-8openalex-snapshot
Detecting Pedestrians Using Patterns of Motion and Appearance
inferredcites →https://doi.org/10.1007/s11263-006-9038-7openalex-snapshot
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
inferredcites →https://doi.org/10.1017/cbo9780511801389openalex-snapshot
An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
inferredcites →https://doi.org/10.1023/b:visi.0000029664.99615.94openalex-snapshot
Distinctive Image Features from Scale-Invariant Keypoints
inferredcites →https://doi.org/10.1038/scientificamerican0471-56openalex-snapshot
Advances in Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.1999.784637openalex-snapshot
Adaptive background mixture models for real-time tracking
inferredcites →https://doi.org/10.1109/cvpr.2005.177openalex-snapshot
Histograms of Oriented Gradients for Human Detection
inferredcites →https://doi.org/10.1109/cvpr.2006.119openalex-snapshot
Fast Human Detection Using a Cascade of Histograms of Oriented Gradients
inferredcites →https://doi.org/10.1109/cvpr.2008.4587630openalex-snapshot
Classification using intersection kernel support vector machines is efficient
inferredcites →https://doi.org/10.1109/cvpr.2009.5206631openalex-snapshot
Pedestrian detection: A benchmark
inferredcites →https://doi.org/10.1109/cvprw.2008.4563097openalex-snapshot
Efficient scan-window based object detection using GPGPU
inferredcites →https://doi.org/10.1109/dicta.2008.37openalex-snapshot
Real-Time Vision-Based Stop Sign Detection System on FPGA
inferredcites →https://doi.org/10.1109/iccv.2007.4409057openalex-snapshot
Real-time Accurate Object Detection using Multiple Resolutions
inferredcites →https://doi.org/10.1109/iccv.2009.5459183openalex-snapshot
Multiple kernels for object detection
inferredcites →https://doi.org/10.1109/iccvw.2009.5457606openalex-snapshot
Parallel implementation of pedestrian tracking using multiple cues on GPGPU
inferredcites →https://doi.org/10.1109/iccvw.2009.5457609openalex-snapshot
Hardware architecture for high-accuracy real-time pedestrian detection with CoHOG features
inferredcites →https://doi.org/10.1109/ivs.2006.1689596openalex-snapshot
PUVAME - New French Approach for Vulnerable Road Users Safety
inferredcites →https://doi.org/10.1109/tpami.2003.1177159openalex-snapshot
An algorithm for data-driven bandwidth selection
inferredcites →https://doi.org/10.1109/tpami.2006.217openalex-snapshot
An Experimental Study on Pedestrian Classification
inferredcites →https://doi.org/10.1109/tpami.2008.260openalex-snapshot
Monocular Pedestrian Detection: Survey and Experiments
inferredcites →https://doi.org/10.1109/tpami.2009.122openalex-snapshot
Survey of Pedestrian Detection for Advanced Driver Assistance Systems

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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inferred← citeshttps://doi.org/10.1109/aieee.2018.8592410openalex-snapshot
FPGA-Based Selected Object Tracking Using LBP, HOG and Motion Detection
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Application Specific Architecture for Hardware Accelerating HOG-SVM to Achieve High Throughput on HD Frames
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Distant Blurred Pedestrian Detection: Based on SSD Network with SRGAN Image Super Resolution
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FPGA-Based Real-Time Pedestrian Detection on High-Resolution Images
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Floating point HOG implementation for real-time multiple object detection
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Comparing and combining GPU and FPGA accelerators in an image processing context
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FPGA-GPU-CPU heterogenous architecture for real-time cardiac physiological optical mapping
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Trigeneous Platforms for Energy Efficient Computing of HPC Applications
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VLSI architecture of Pairwise Linear SVM for facial expression recognition
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FPGA Based Implementation of Linear SVM for Facial Expression Classification
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A sub-100-milliwatt dual-core HOG accelerator VLSI for real-time multiple object detection
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Architectural Study of HOG Feature Extraction Processor for Real-Time Object Detection
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Système embarqué de fusion multi-capteurs pour la détection et le suivi d'obstacles statiques et dynamiques
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