Performance Optimization of Object Tracking Algorithms in OpenCV on GPUs
Machine-learning-based computer vision is increasingly versatile and being leveraged by a wide range of smart devices. Due to the limited performance/energy budget of computing units in smart devices, the careful implementation of computer vision algorithms is critical. In this paper, we analyze the...
Main Authors: | Jaehyun Song, Hwanjin Jeong, Jinkyu Jeong |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-08-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/12/15/7801 |
Similar Items
-
Accelerating AutoDock Vina with GPUs
by: Shidi Tang, et al.
Published: (2022-05-01) -
Sistem Pengenalan Wajah Secara Realtime Berbasis Android Menggunakan Metode Eigenface Pada OpenCV
by: Derisma Derisma
Published: (2016-11-01) -
Advanced Driver Fatigue Detection by Integration of OpenCV DNN Module and Deep Learning
by: Muzammil Parvez M., et al.
Published: (2023-03-01) -
Cherry Picking Robot Vision Recognition System Based on OpenCV
by: Zhang Qi Rong, et al.
Published: (2016-01-01) -
OpenCL-accelerated first-principles calculations of all-electron quantum perturbations on HPC resources
by: Zhikun Wu, et al.
Published: (2023-05-01)