- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
Real time video image enhancement approach using particle swarm optimisation technique with adaptive cumulative distribution function based histogram equalization
摘要： Recent years, real time videos are playing an important role in different applications such as pattern recognition, security purpose, news analysis, weather digest, and video browser and so on. Due to the importance of real time video applications, the quality of the real time video must be improved for making effective results in real time video analysis process. This paper introduces the particle optimization with adaptive cumulative distribution based histogram enhancement technique (PACDHE) for improving the real time video quality. Initially the videos are collected, each incoming frame has been analyzed and noise present in the video frame is eliminated by applying the non-divisional median filter. After that, quality of real time video is enhanced iteratively by examining each pixel present in video frames using the optimized fitness and cumulative distribution function. This process is repeated continuously until to enhance the real time video frames contrast and quality. Then the performance of the system is analyzed by using CV online video database and the efficiency is examined in terms of peak signal to noise ratio (PSNR), Absolute Mean Brightness Error (AMBE) and Entropy. The experimental results of PSO are compared with genetic algorithm based approach and found that PSO outperforms the GA approach and the existing histogram equalization approach and the existing histogram equalization approaches.
关键词： contrast enhancement,particle optimization based adaptive cumulative distribution based histogram enhancement technique (PACDHE),fitness and cumulative distribution function,CV online video database,Video quality
更新于2025-09-23 15:23:52
-
Evaluación del videolaringoscopio Airtraq como dispositivo de rescate tras laringoscopia directa difícil
摘要： Background and objectives: Unexpected difficult tracheal intubation and failure to intubate are among the leading causes of anesthesia-related morbidity and mortality. This study was undertaken to evaluate the effectiveness of the Airtraq video laryngoscope for tracheal intubation after difficult direct laryngoscopy. Methods: 75 patients undergoing elective surgery under general anesthesia and whose direct laryngoscopy by a senior anesthesiologist exhibited Cormack-Lehane grade 2b, 3 or 4 were enrolled. Results: The Glottic view was improved in all patients when using the Airtraq video laryngoscope, compared with Macintosh laryngoscope. The view was improved by 2 degrees in 17.3% of the cases, by three in 60% and by four grades in 22.7% (P<0.0001). The success rate for intubation was 100% with the Airtraq. Fifty-six patients (74.7%) required a single attempt, sixteen (21.3%) two attempts and three (4%) a third attempt. Intubation difficulty scale indicated that tracheal intubation was performed easily in most cases There were no critical events. Conclusions: Tracheal intubation using the Airtraq was effective, simple and safe in patients with difficult laryngoscopy. These results confirm that the Airtraq is a reliable video laryngoscope as a rescue device in cases of difficult laryngeal view with direct laryngoscopy.
关键词： Airtraq,General anesthesia,Airway management,Difficult airway,Video laryngoscopy
更新于2025-09-23 15:23:52
-
Forensic 3D documentation of skin injuries using photogrammetry: photographs vs video and manual vs automatic measurements
摘要： Accurate and precise documentation of lesions is an important aspect of the forensic pathologists’ work. Photogrammetry provides a useful tool to take precise measurements from photographs. These photographs are normally acquired with single camera photographs, but the procedure is quite time-consuming. Video recording has the potential to record a larger amount of image data faster. We documented 33 cadaveric skin lesions, using photographs and video recordings. The dimensions of the lesions ranged between 0.27 and 21.8 cm. The measurements of the lesions were extracted with both manual and automatic point measurements from photographs and from video frames, respectively. Very small differences (mean and median < 1 mm) were found between measurements taken in photographs versus video frames. Video frames were often blurred, preventing clear demarcation of the edges of the lesions and presenting a larger amount of noise in the 3D models. The differences between the manual point and automatic point measurements were very small (mean and median < 1 mm), but the manual procedure is to be preferred, since automatic points were not always located on the edges of the lesions. The only aspect in which video frames were superior to photographs was the recording time: video recording was almost five times faster than the photo sessions. In conclusion, this study shows that precise and comparable measurements can be extracted both from photographs and video frames. The video is the fastest method, but the use of photographs is still recommended. Manual measurements are more precise than automatic measurements and equally time-consuming.
关键词： Skin injuries,Video documentation,Photogrammetry,3D documentation
更新于2025-09-23 15:23:52
-
[IEEE 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Honolulu, HI (2018.7.18-2018.7.21)] 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Remote Heart Rate Measurement from RGB-NIR Video Based on Spatial and Spectral Face Patch Selection
摘要： In this paper, we propose a novel heart rate (HR) estimation method using simultaneously recorded RGB and near-infrared (NIR) face videos. The key idea of our method is to automatically select suitable face patches for HR estimation in both spatial and spectral domains. The spatial and spectral face patch selection enables us to robustly estimate HR under various situations, including scenes under which existing RGB camera-based methods fail to accurately estimate HR. For a challenging scene in low light and with light fluctuations, our method can successfully estimate HR for all 20 subjects (±3 beats per minute), while the RGB camera-based methods succeed only for 25% of the subjects.
关键词： spectral domain,remote sensing,spatial domain,face patch selection,heart rate estimation,RGB-NIR video
更新于2025-09-23 15:23:52
-
[IEEE 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) - Xi'An, China (2018.10.12-2018.10.14)] 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE) - Research on the Memory of Online Advertising Based on Eye-Tracking Technology
摘要： Based on the memory of the member of the committee of e-Business Engineering (ICEBE) and the eye-tracking technology, this paper explores the effect of online video advertising on memory and draws data from 100 tested subjects after watching several videos. The research shows that there is a correlation between eye-tracking data and memory and the eye movement model through the experiment.
关键词： eye-tracking,e-Business Engineering,memory effect,online video advertising
更新于2025-09-23 15:23:52
-
[IEEE 2018 9th International Conference on Information Technology in Medicine and Education (ITME) - Hangzhou, China (2018.10.19-2018.10.21)] 2018 9th International Conference on Information Technology in Medicine and Education (ITME) - Extracting Photoplethysmographic Waveform from Bulbar Conjunctiva Video
摘要： Recently the conjunctival vascularity measurement based on image analysis has shown great potential in physiological monitoring and biometrics. However, the motion artifacts in the conjunctiva videos cause both large displacement and distinct illumination variety. In this paper, a novel approach is proposed to extract photoplethysmographic waveform from conjunctiva video. Which consists of video stabilization and dual-channel extraction to eliminate the two facets of the motion artifacts respectively. The heart rate measuring results have shown a good agreement between our method and the fingertip oximeter.
关键词： conjunctiva vessel,pulse wave,video stabilization,illumination compensation
更新于2025-09-23 15:23:52
-
Advanced methods for the optical quality assurance of silicon sensors
摘要： We describe a setup for optical quality assurance of silicon microstrip sensors. Pattern recognition algorithms were developed to analyze microscopic scans of the sensors for defects. It is shown that the software has a recognition and classification rate of >90% for defects like scratches, shorts, broken metal lines etc. We have demonstrated that advanced image processing based on neural network techniques is able to further improve the recognition and defect classification rate.
关键词： video microscope,silicon sensors,neural networks,optical quality assurance
更新于2025-09-23 15:23:52
-
[IEEE 2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) - Poznan, Poland (2018.9.19-2018.9.21)] 2018 Signal Processing: Algorithms, Architectures, Arrangements, and Applications (SPA) - Hardware implementation of the Gaussian Mixture Model foreground object segmentation algorithm working with ultra-high resolution video stream in real-time
摘要： In this paper a hardware implementation of the Gaussian Mixture Model algorithm for background modelling and foreground object segmentation is presented. The proposed vision system is able to handle video stream with resolution up to 4K (3840x2160 pixels) and 60 frames per second. Moreover, the constraints caused by memory bandwidth limit are also discussed and a few different solutions to tackle this issue have been considered. The designed modules have been verified on the ZCU102 development board with Xilinx Zynq UltraScale+ MPSoC device. Additionally, the computing performance and power consumption have been estimated.
关键词： FPGA,4K video,background modelling,real-time processing,GPU,Gaussian Mixture Model,foreground object segmentation
更新于2025-09-23 15:23:52
-
The Placement of Digitized Objects in a Point Cloud as a Photogrammetric Technique
摘要： The frequency of video-capturing collision events from surveillance systems are increasing in reconstruction analyses. The video that has been provided to the investigator may not always include a clear perspective of the relevant area of interest. For example, surveillance video of an incident may have captured a pre- or post-incident perspective that, while failing to capture the precise moment when the pedestrian was struck by a vehicle, still contains valuable information that can be used to assist in reconstructing the incident. When surveillance video is received, a quick and efficient technique to place the subject object or objects into a three-dimensional environment with a known rate of error would add value to the investigation. In addition, once the objects have been placed into the three-dimensional environment, the investigator would then be able to observe the physical evidence and environment from any perspective, including viewing and measuring what cannot be seen in the video perspective. In this research, the proposed photogrammetric technique of visually placing objects within three-dimensional laser scans will be evaluated. This research aims to quantify the rate of error of taking measurements of these objects to known fixed reference points both in and out of view of the camera, and provide an efficient technique that can be employed by reconstructionists using only one software package. As a result of this research, the authors have developed an expedient, less time-intensive photogrammetric technique for the placement of three-dimensionally scanned objects and environments. This technique can take less than half of the time of a conventional photogrammetric solution.
关键词： Photogrammetry,Video footage,3D scanning,Surveillance video,Laser scanning,Scanagrammetry,Accident reconstruction,Drivecam,Dashcam
更新于2025-09-23 15:22:29
-
Online Mutual Foreground Segmentation for Multispectral Stereo Videos
摘要： The segmentation of video sequences into foreground and background regions is a low-level process commonly used in video content analysis and smart surveillance applications. Using a multispectral camera setup can improve this process by providing more diverse data to help identify objects despite adverse imaging conditions. The registration of several data sources is however not trivial if the appearance of objects produced by each sensor differs substantially. This problem is further complicated when parallax effects cannot be ignored when using close-range stereo pairs. In this work, we present a new method to simultaneously tackle multispectral segmentation and stereo registration. Using an iterative procedure, we estimate the labeling result for one problem using the provisional result of the other. Our approach is based on the alternating minimization of two energy functions that are linked through the use of dynamic priors. We rely on the integration of shape and appearance cues to find proper multispectral correspondences, and to properly segment objects in low contrast regions. We also formulate our model as a frame processing pipeline using higher order terms to improve the temporal coherence of our results. Our method is evaluated under different configurations on multiple multispectral datasets, and our implementation is available online.
关键词： Multispectral imagery,Energy minimization,Cosegmentation,Video signal processing,Video object segmentation
更新于2025-09-23 15:22:29