A survey on parallel computing for traditional computer vision

A comparative study on SoC embedded low power GPUs for real‐time edge‐based automated traffic surveillance

(2021) Deepak Jaiswal et al.   CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE

Deep Learning on Computational-Resource-Limited Platforms: A Survey

(2020) Chunlei Chen et al.   Mobile Information Systems

A Survey on Distributed Machine Learning

(2020) Joost Verbraeken et al.   ACM COMPUTING SURVEYS

A systematic literature review on hardware implementation of artificial intelligence algorithms

(2020) Manar Abu Talib et al.   JOURNAL OF SUPERCOMPUTING

YOLOpeds: efficient real-time single-shot pedestrian detection for smart camera applications

(2020) Christos Kyrkou   IET Computer Vision

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey

(2019) Giang Nguyen et al.   ARTIFICIAL INTELLIGENCE REVIEW

A Survey on optimized implementation of deep learning models on the NVIDIA Jetson platform

(2019) Sparsh Mittal   JOURNAL OF SYSTEMS ARCHITECTURE

Energy-Aware High-Performance Computing: Survey of State-of-the-Art Tools, Techniques, and Environments

(2019) Pawel Czarnul et al.   Scientific Programming

Edge-Computing Video Analytics for Real-Time Traffic Monitoring in a Smart City

(2019) Johan Barthélemy et al.   SENSORS

Real-time implementation of moving object detection in UAV videos using GPUs

(2019) Deepak Jaiswal et al.   Journal of Real-Time Image Processing

A survey of techniques for optimizing deep learning on GPUs

(2019) Sparsh Mittal et al.   JOURNAL OF SYSTEMS ARCHITECTURE

F-DES: Fast and Deep Event Summarization

(2018) Krishan Kumar et al.   IEEE TRANSACTIONS ON MULTIMEDIA

Suitability of recent hardware accelerators (DSPs, FPGAs, and GPUs) for computer vision and image processing algorithms

(2018) Amir HajiRassouliha et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

A Real Time Object Recognition and Counting System for Smart Industrial Camera Sensor

(2017) Shih-Hsiung Lee et al.   IEEE SENSORS JOURNAL

Parallelizing Multimodal Background Modeling on a Low-Power Integrated GPU

(2016) Shoaib Azmat et al.   Journal of Signal Processing Systems for Signal Image and Video Technology

Fairness-Aware and Energy Efficiency Resource Allocation in Multiuser OFDM Relaying System

(2016) Guangjun Liang et al.   Mobile Information Systems

Real-time hardware–software embedded vision system for ITS smart camera implemented in Zynq SoC

(2016) Tomasz Kryjak et al.   Journal of Real-Time Image Processing

A Survey on FPGA-Based Sensor Systems: Towards Intelligent and Reconfigurable Low-Power Sensors for Computer Vision, Control and Signal Processing

(2014) Gabriel García et al.   SENSORS

Fast prototyping of a SoC-based smart-camera: a real-time fall detection case study

(2014) Benaoumeur Senouci et al.   Journal of Real-Time Image Processing

Boosting CUDA Applications with CPU–GPU Hybrid Computing

(2013) Changmin Lee et al.   INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING

Medical image processing on the GPU – Past, present and future

(2013) Anders Eklund et al.   MEDICAL IMAGE ANALYSIS

Real-time moving object detection algorithm on high-resolution videos using GPUs

(2013) Praveen Kumar et al.   Journal of Real-Time Image Processing

Hybrid computing: CPU+GPU co-processing and its application to tomographic reconstruction

(2012) J.I. Agulleiro et al.   ULTRAMICROSCOPY

Real-time gradient vector flow on GPUs using OpenCL

(2012) Erik Smistad et al.   Journal of Real-Time Image Processing

Understanding throughput-oriented architectures

(2010) Michael Garland et al.   COMMUNICATIONS OF THE ACM