scholarly journals Real Time Speed Estimation of Moving Vehicles from Side View Images from an Uncalibrated Video Camera

Sensors ◽  
2010 ◽  
Vol 10 (5) ◽  
pp. 4805-4824 ◽  
Author(s):  
Sedat Doğan ◽  
Mahir Serhan Temiz ◽  
Sıtkı Külür
Keyword(s):  
Real Time ◽  
Video Camera ◽  
Speed Estimation ◽  
Side View ◽  
Moving Vehicles

Processing Panorama Video in Real-time

2014 ◽  
Vol 08 (02) ◽  
pp. 209-227 ◽  
Author(s):  
Håkon Kvale Stensland ◽  
Vamsidhar Reddy Gaddam ◽  
Marius Tennøe ◽  
Espen Helgedagsrud ◽  
Mikkel Næss ◽  
...  
Keyword(s):  
Real Time ◽  
Graphics Processing Units ◽  
Low Cost ◽  
Video Camera ◽  
Wide Field ◽  
High Data ◽  
Data Rates ◽  
Camera Arrays ◽  
Analysis System ◽  
Performance Results

There are many scenarios where high resolution, wide field of view video is useful. Such panorama video may be generated using camera arrays where the feeds from multiple cameras pointing at different parts of the captured area are stitched together. However, processing the different steps of a panorama video pipeline in real-time is challenging due to the high data rates and the stringent timeliness requirements. In our research, we use panorama video in a sport analysis system called Bagadus. This system is deployed at Alfheim stadium in Tromsø, and due to live usage, the video events must be generated in real-time. In this paper, we describe our real-time panorama system built using a low-cost CCD HD video camera array. We describe how we have implemented different components and evaluated alternatives. The performance results from experiments ran on commodity hardware with and without co-processors like graphics processing units (GPUs) show that the entire pipeline is able to run in real-time.

scholarly journals Kinect as a Tool for Gait Analysis: Validation of a Real-Time Joint Extraction Algorithm Working in Side View

Sensors ◽  
2015 ◽  
Vol 15 (1) ◽  
pp. 1417-1434 ◽  
Author(s):  
Enea Cippitelli ◽  
Samuele Gasparrini ◽  
Susanna Spinsante ◽  
Ennio Gambi
Keyword(s):  
Gait Analysis ◽  
Real Time ◽  
Side View ◽  
Extraction Algorithm

scholarly journals EyeKeys: A Real-Time Vision Interface Based on Gaze Detection from a Low-Grade Video Camera

2005 ◽  
Author(s):  
J.J. Magee ◽  
M.R. Scott ◽  
B.N. Waber ◽  
M. Betke
Keyword(s):  
Real Time ◽  
Video Camera ◽  
Low Grade ◽  
Gaze Detection

scholarly journals Driving Speed Estimation and Trapped Drivers’ Detection inside Tunnels Using Distributed MIMO Bluetooth Devices

Electronics ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 265
Author(s):  
Sotirios Kontogiannis ◽  
Anestis Kastellos ◽  
George Kokkonis ◽  
Theodosios Gkamas ◽  
Christos Pikridas
Keyword(s):  
Random Forests ◽  
Kalman Filtering ◽  
System Architecture ◽  
Evaluation Process ◽  
Speed Estimation ◽  
Resources Management ◽  
Loop Detectors ◽  
Driving Speed ◽  
Moving Vehicles ◽  
Classifier Training

Accidents in highway tunnels involving trucks carrying flammable cargoes can be dangerous, needing immediate confrontation to detect and safely evacuate the trapped people to lead them to the safety exits. Unfortunately, existing sensing technologies fail to detect and track trapped persons or moving vehicles inside tunnels in such an environment. This paper presents a distributed Bluetooth system architecture that uses detection equipment following a MIMO approach. The proposed equipment uses two long-range Bluetooth and one BLE transponder to locate vehicles and trapped people in motorway tunnels. Moreover, the detector’s parts and distributed architecture are analytically described, along with interfacing with the authors’ resources management system implementation. Furthermore, the authors also propose a speed detection process, based on classifier training, using RSSI input and speed calculations from the tunnel inductive loops as output, instead of the Friis equation with Kalman filtering steps. The proposed detector was experimentally placed at the Votonosi tunnel of the EGNATIA motorway in Greece, and its detection functionality was validated. Finally, the detector classification process accuracy is evaluated using feedback from the existing tunnel inductive loop detectors. According to the evaluation process, classifiers based on decision trees or random forests achieve the highest accuracy.

scholarly journals High-Quality Transmission of Cardiotocogram and Fetal Information Using a 5G System: Pilot Experiment (Preprint)

2020 ◽  
Author(s):  
Katsuhiko Naruse ◽  
Tomoya Yamashita ◽  
Yukari Onishi ◽  
Yuhi Niitaka ◽  
Fumikage Uchida ◽  
...  
Keyword(s):  
Real Time ◽  
Video Camera ◽  
Ultrasound Images ◽  
Radio Waves ◽  
High Definition ◽  
Waveform Data ◽  
High Definition Video ◽  
Other Information ◽  
Emergency Transport ◽  
The Status

BACKGROUND A cardiotocogram (CTG) is a device used to perceive the status of a fetus in utero in real time. There are a few reports of its use at home or during emergency transport. OBJECTIVE The aim of this study was to test whether CTG and other perinatal information can be transmitted accurately using an experimental station with a 5G transmission system. METHODS In the research institute, real-time fetal heart rate waveform data from the CTG device, high-definition video ultrasound images of the fetus, and high-definition video taken with a video camera on a single line were transmitted by 5G radio waves from the transmitting station to the receiving station. RESULTS All data were proven to be transmitted with a minimum delay of less than 1 second. The CTG waveform image quality was not inferior, and there was no interruption in transmission. Images of the transmitted ultrasound examination and video movie were fine and smooth. CONCLUSIONS CTG and other information about the fetuses and pregnant women were successfully transmitted by a 5G system. This finding will lead to prompt and accurate medical treatment and improve the prognosis of newborns.

scholarly journals High-Quality Transmission of Cardiotocogram and Fetal Information Using a 5G System: Pilot Experiment

10.2196/19744 ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. e19744
Author(s):  
Katsuhiko Naruse ◽  
Tomoya Yamashita ◽  
Yukari Onishi ◽  
Yuhi Niitaka ◽  
Fumikage Uchida ◽  
...  
Keyword(s):  
Real Time ◽  
Video Camera ◽  
Ultrasound Images ◽  
Radio Waves ◽  
High Definition ◽  
Waveform Data ◽  
High Definition Video ◽  
Other Information ◽  
Emergency Transport ◽  
The Status

Background A cardiotocogram (CTG) is a device used to perceive the status of a fetus in utero in real time. There are a few reports of its use at home or during emergency transport. Objective The aim of this study was to test whether CTG and other perinatal information can be transmitted accurately using an experimental station with a 5G transmission system. Methods In the research institute, real-time fetal heart rate waveform data from the CTG device, high-definition video ultrasound images of the fetus, and high-definition video taken with a video camera on a single line were transmitted by 5G radio waves from the transmitting station to the receiving station. Results All data were proven to be transmitted with a minimum delay of less than 1 second. The CTG waveform image quality was not inferior, and there was no interruption in transmission. Images of the transmitted ultrasound examination and video movie were fine and smooth. Conclusions CTG and other information about the fetuses and pregnant women were successfully transmitted by a 5G system. This finding will lead to prompt and accurate medical treatment and improve the prognosis of newborns.

scholarly journals Accurate Real-Time Traffic Speed Estimation Using Infrastructure-Free Vehicular Networks

2015 ◽  
Vol 2015 ◽  
pp. 1-19 ◽  
Author(s):  
Zongjian He ◽  
Buyang Cao ◽  
Yan Liu
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Vehicular Networks ◽  
Route Planning ◽  
Speed Estimation ◽  
Traffic Condition ◽  
Real Time Traffic ◽  
Traffic Trace ◽  
Traffic Speed ◽  
Traffic Speed Estimation

Real-time traffic speed is indispensable for many ITS applications, such as traffic-aware route planning and eco-driving advisory system. Existing traffic speed estimation solutions assume vehicles travel along roads using constant speed. However, this assumption does not hold due to traffic dynamicity and can potentially lead to inaccurate estimation in real world. In this paper, we propose a novel in-network traffic speed estimation approach using infrastructure-free vehicular networks. The proposed solution utilizes macroscopic traffic flow model to estimate the traffic condition. The selected model only relies on vehicle density, which is less likely to be affected by the traffic dynamicity. In addition, we also demonstrate an application of the proposed solution in real-time route planning applications. Extensive evaluations using both traffic trace based large scale simulation and testbed based implementation have been performed. The results show that our solution outperforms some existing ones in terms of accuracy and efficiency in traffic-aware route planning applications.

scholarly journals Real-Time Color Correction Method for a Low-Cost Still/Video Camera

2009 ◽  
Vol E92-D (1) ◽  
pp. 97-101
Author(s):  
Dongil HAN ◽  
Hak-Sung LEE ◽  
Chan IM ◽  
Seong Joon YOO
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Video Camera ◽  
Correction Method ◽  
Color Correction
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