Research on Real-time Extracting Method for Distance Characteristic Feature Based on CUDA

2012 ◽  
Author(s):  
Qinghai He ◽  
Lianglong Da ◽  
Guojun Xu
Keyword(s):  
Characteristic Feature ◽  
Real Time ◽  
Feature Based

scholarly journals Multi-Stage Real-Time Identification for Data Stream Events With Drift Feature Based on DTW

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 89188-89204
Author(s):  
Junlu Wang ◽  
Chengfeng Liu ◽  
Linlin Ding ◽  
Hao Luo ◽  
Baoyan Song
Keyword(s):  
Real Time ◽  
Data Stream ◽  
Multi Stage ◽  
Feature Based ◽  
Real Time Identification

scholarly journals Feature-Based Machine Learning Model for Real-Time Hypoglycemia Prediction

2020 ◽  
pp. 193229682092262
Author(s):  
Darpit Dave ◽  
Daniel J. DeSalvo ◽  
Balakrishna Haridas ◽  
Siripoom McKay ◽  
Akhil Shenoy ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Learning Model ◽  
Machine Learning Model ◽  
Feature Based

scholarly journals Real-Time System Based on Feature Extraction for Vehicle Detection and Classification

2018 ◽  
Vol 19 (2) ◽  
pp. 93-102 ◽  
Author(s):  
Zakaria Moutakki ◽  
Imad Mohamed Ouloul ◽  
Karim Afdel ◽  
Abdellah Amghar
Keyword(s):  
Real Time ◽  
Video Surveillance ◽  
Time Management ◽  
Road Traffic ◽  
Vehicle Detection ◽  
Real Time System ◽  
Counting System ◽  
Feature Based ◽  
Traffic Video ◽  
And Control

Abstract Today, Road traffic video surveillance becomes the centre of several concerns. It presents an important way for analysis of road traffic in highways. Road traffic video surveillance can help to resolve many problems which can influence road safety. This paper presents a real-time management and control system which serve to analyze road traffic using a stationary camera. The proposed system can measure the quantity and characteristics of traffic in real time based on three modules, segmentation, classification and vehicle counting. Our contribution consists of developing a feature-based counting system for vehicle detection and recognition under the conditions which present a challenge in recent systems, such as occlusions, and illumination conditions. Our method can perform vehicle detection and classification by eliminating the influence of many factors on system efficiency. The obtained results show that the system proposed in this paper provides a counting rate higher than that of some existing methods.

Real-time feature-based image morphing for memory-efficient impostor rendering and animation on GPU

2012 ◽  
Vol 29 (2) ◽  
pp. 131-140 ◽  
Author(s):  
Kamer Ali Yuksel ◽  
Alp Yucebilgin ◽  
Selim Balcisoy ◽  
Aytul Ercil
Keyword(s):  
Real Time ◽  
Image Morphing ◽  
Feature Based ◽  
Memory Efficient
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