scholarly journals SOFTWARE FOR RECORDING AND CAPTURE VIDEO SEQUENCES FOR POULTRY AND LAYING HENS FACILITY (BIOTERIUM)

2020 ◽  
Vol 8 (2) ◽  
pp. 53-65
Author(s):  
Mario Mollo Neto ◽  
Mariana Mariana Matulovic da Silva Rodrigueiro
Keyword(s):  
User Interface ◽  
Laying Hens ◽  
Video Data ◽  
Video Sequences ◽  
Good Tool ◽  
Software Usability ◽  
System Validation ◽  
Digital Memory ◽  
Straight Line ◽  
Requirements Determination

Behavior can sometimes be observed directly, and can also be affected by the presence of human observers. Technological devices have strongly advanced our understanding of certain aspects of animal behavior, and the small cameras borne in a straight line by study animals offer a reliable alternative to direct observation. One possible way to make animal welfare assessments easier and faster could be the application of audio and video data analysis. In this research, the main goal is to reach the requirements determination, and the construction to build a concurrent alternative to CCTV software based on new proprietary software, developed in Matlab® language, to record and capture video sequences in digital memory hardware. The proposed software stakeholders’ needs are written attending the specification in the ISO/IEC/IEEE 29148:2011 standard, and the life cycle adapted to the development was based in the standard ISO/IEC/IEEE 12207:2008.  The main user interface was generated using the Matlab® GUI (Graphical User Interface). In the results, a resumed table with the final document of Requirement Specification (StRS) was generated and the main interface is coded. The system validation took place in the animal houses (bioterium) over a period of three months and the data collection and software usability reach the attendance to all the requirements listed. Thus, in the conclusions, it was observed that its users considered the developed software a good tool to help researches in the poultry and laying hens’ facility (bioterium).

Detecting “DeepFakes” in H.264 Video Data Using Compression Ghost Artifacts

2020 ◽  
Vol 2020 (4) ◽  
pp. 116-1-116-7
Author(s):  
Raphael Antonius Frick ◽  
Sascha Zmudzinski ◽  
Martin Steinebach
Keyword(s):  
Image Forensics ◽  
Video Data ◽  
Experimental Results ◽  
Video Sequences ◽  
The Internet ◽  
Video Content ◽  
High Quality ◽  
The Public

In recent years, the number of forged videos circulating on the Internet has immensely increased. Software and services to create such forgeries have become more and more accessible to the public. In this regard, the risk of malicious use of forged videos has risen. This work proposes an approach based on the Ghost effect knwon from image forensics for detecting forgeries in videos that can replace faces in video sequences or change the mimic of a face. The experimental results show that the proposed approach is able to identify forgery in high-quality encoded video content.

Radiometric Quality Assessment of Video Sequences Acquired from UAV Photogrammetric Systems

2017 ◽  
Author(s):  
Damian Wierzbicki ◽  
Anna Fryskowska
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Video Stream ◽  
Video Data ◽  
Video Sequences ◽  
Wide Field ◽  
Sensing Applications ◽  
Aerial Vehicles ◽  
High Resolution Imagery ◽  
Low Altitude ◽  
Imagery Data

The issue of imagery data collection and its implementation in photogrammetric studies with the use of unmanned aerial vehicles is still valid and provides a wide field of research in the creation of new and expansion of existing solutions. It is particularly important to increase the accuracy of photogrammetric products. These days low altitude unmanned aerial vehicles are being used more and more often in photogrammetric applications. Compact digital cameras had acquired single, high-resolution imagery. Data obtained from low altitudes were often (and still are) used in mapping and 3D modelling. Due to the low costs of flights of UAV systems in comparison with traditional flights, applications of such platforms are also attractive for many remote sensing applications. However, due to the use of non-metric video cameras, one of the main problems when trying to automate the video data processing, is the video sequences’ relatively poor radiometric quality. The article addresses the issue of assessing the quality of the video imagery acquired from a low altitude UAV platform. The Authors presented quality Indicators dedicated to UAV video sequences. The method is based on the analysis of the video stream, obtained in the different weather and lighting conditions. As a result of the research, an objective quality index for video acquired from low altitudes was determined.

Utility of Matrix Algebra and Graphical User Interface in Design of Six-Bar Mechanism for Rectilinear Motion Generation

2013 ◽  
Author(s):  
Behrooz Fallahi ◽  
Seyyed Alireza Seyyed Mousavi ◽  
Arjun Kumar Perla ◽  
Ilia Mokhtarian
Keyword(s):  
User Interface ◽  
Graphical User Interface ◽  
Matrix Algebra ◽  
Design Space ◽  
Rectilinear Motion ◽  
Motion Generation ◽  
Straight Line ◽  
Synthesis Procedure ◽  
And Inversion

Many applications require design of a linkage that executes a rectilinear motion. In this study a synthesis procedure for six-bar mechanism for generation of rectilinear motion is presented. To achieve this goal, matrix algebra is used to describe translation, rotation, and inversion of motion of links. These concepts then are used to implement the classical three-precision point synthesize of a four-bar mechanism with a coupler point that traces a straight line. The motion of this four-bar mechanism is inverted and then is used to synthesize a second four-bar mechanism. The merging of these two four-bar mechanisms forms a six-bar mechanism such that the motion of one link is rectilinear motion. To implement this procedure, a graphical user interface is developed for the ease of exploring the design space. The utility of this approach is demonstrated by designing a linkage for a lift-truck.

scholarly journals A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2708 ◽  
Author(s):  
Jutamanee Auysakul ◽  
He Xu ◽  
Vishwanath Pooneeth
Keyword(s):  
Kalman Filter ◽  
Poor Performance ◽  
Video Data ◽  
Frame Rate ◽  
Video Sequences ◽  
Video Stabilization ◽  
Switching Function ◽  
Post Processing ◽  
The Poor ◽  
Hybrid Motion

Recorded video data must be clear for accuracy and faster analysis during post-processing, which often requires video stabilization systems to remove undesired motion. In this paper, we proposed a hybrid method to estimate the motion and to stabilize videos by the switching function. This method switched the estimated motion between a Kanade–Lucus–Tomasi (KLT) tracker and an IMU-aided motion estimator. It facilitated the best function to stabilize the video in real-time as those methods had numerous advantages in estimating the motion. To achieve this, we used a KLT tracker to correct the motion for low rotations and an IMU-aided motion estimator for high rotation, owing to the poor performance of the KLT tracker during larger movements. Furthermore, a Kalman filter was used to remove the undesired motion and hence smoothen the trajectory. To increase the frame rate, a multi-threaded approach was applied to execute the algorithm in the array. Irrespective of the situations exposed to the experimental results of the moving camera from five video sequences revealed that the proposed algorithm stabilized the video efficiently.

scholarly journals Kinematic gait characteristics of straight line walk in clinically sound dairy cows

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253479
Author(s):  
M. Tijssen ◽  
F. M. Serra Braganςa ◽  
K. Ask ◽  
M. Rhodin ◽  
P. H. Andersen ◽  
...  
Keyword(s):  
Dairy Cows ◽  
Linear Mixed Model ◽  
Vertical Displacement ◽  
Video Data ◽  
Lower Limbs ◽  
Anatomical Location ◽  
Distal Limb ◽  
Temporal Parameters ◽  
Gait Characteristics ◽  
Straight Line

The aim of this study is to describe the kinematic gait characteristics of straight line walk in clinically sound dairy cows using body mounted Inertial Measurement Units (IMUs) at multiple anatomical locations. The temporal parameters used are speed and non-speed normalized stance duration, bipedal and tripedal support durations, maximal protraction and retraction angles of the distal limbs and vertical displacement curves of the upper body. Gait analysis was performed by letting 17 dairy cows walk in a straight line at their own chosen pace while equipped with IMU sensors on tubera sacrale, left and right tuber coxae (LTC and RTC), back, withers, head, neck and all four lower limbs. Data intervals with stride by stride regularity were selected based on video data. For temporal parameters, the median was calculated and 95% confidence intervals (CI) were estimated based on linear mixed model (LMM) analysis, while for limb and vertical displacement curves, the median and most typical curves were calculated. The temporal parameters and distal limb angles showed consistent results with low variance and LMM analysis showed non-overlapping CI for all temporal parameters. The distal limb angle curves showed a larger and steeper retraction angle range for the distal front limbs compared with the hind limbs. The vertical displacement curves of the sacrum, withers, LTC and RTC showed a consistent sinusoidal pattern while the head, back and collar curves were less consistent and showed more variation between and within cows. This kinematic description might allow to objectively differentiate between normal and lame gait in the future and determine the best anatomical location for sensor attachment for lameness detection purposes.

scholarly journals Fire Detection Using Multi Criteria Image Processing Technique in Video Sequences

2015 ◽  
Vol 16 (1) ◽  
pp. 136
Author(s):  
Behrouz Memarzadeh ◽  
Mohammad Ali Mohammadi
Keyword(s):  
High Speed ◽  
Fire Detection ◽  
Detection Algorithm ◽  
Processing Technique ◽  
Video Data ◽  
Image Processing Technique ◽  
Video Sequences ◽  
False Alarms ◽  
Surveillance Systems ◽  
Gray Level

Vision-based flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. This paper proposes a multi criterion method to detect fire or flames by processing the video data generated by a high speed camera. Since flame images are special class of images, some of the unique features of a flame may be used to identify flame. There are some differences between flame images and other general images. By using these features we are able to detect fire correctly with least false alarm. In this paper we present an algorithm which can detect fire and reduce number of false alarms by counting number of identified pixels. In the algorithm, we preprocess the images to have better results. So first we adjust the gray level of a flame image according to its statistical distribution to have better processing. After that we try to extract fire features in images. First by using color characteristics, the ratio of red to green, we can identify probable fire-like or fire like pixels. Second, to highlight the regions with high gray level contrast at their edges, we use the extended prewitt filter. We use AND operation on two above processing images to remove unrelated pixels, at last by using flicker frequency, the oscillating change in the number of identified pixels over time is transformed into the frequency domain to complete detection algorithm. Simulation proves the algorithm ability to detect fire in different situations in video sequences.

scholarly journals THE SYSTEM OF VIDEO-DATA PROCESSING FOR THE AUTONOMOUS CONTROL OF MOBILE ROBOT

2014 ◽  
pp. 82-85
Author(s):  
Denis Vershok ◽  
Rauf Sadykhov ◽  
Andrei Selikhanovich ◽  
Klaus Schilling ◽  
Hubert Roth
Keyword(s):  
Data Processing ◽  
Mobile Robot ◽  
Detection Algorithm ◽  
Straight Line Segment ◽  
Video Data ◽  
Autonomous Control ◽  
Walsh Transform ◽  
Straight Line ◽  
Third Stage ◽  
The Given

This paper describes the system of video-data processing based on monocular vision for autonomous control of mobile robot. The system allows detecting obstacles in a robot environment modeled as a set of straight-line segment. The given system consists of three basic stages and uses original algorithms, ensuring the required precision and realization of the system in the real time. The first stage uses a fast edge detection algorithm on the basis of two- dimensional Walsh transform. The algorithm of modified Hough transform is used for detection of straight-line segments. The third stage «segment tracking» uses Kalman filtration for tracking segments in a monocular sequence of images.

scholarly journals МОДЕЛІ ТА ОЦІНЮВАННЯ ЯКОСТІ ЗРУЧНОСТІ ВИКОРИСТАННЯ ІНТЕРФЕЙСУ ПРОГРАМНОГО ЗАБЕЗПЕЧЕННЯ ДЛЯ ЛЮДИНО-КОМП'ЮТЕРНОЇ ВЗАЄМОДІЇ

2020 ◽  
pp. 84-96
Author(s):  
Олександр Олександрович Гордєєв
Keyword(s):  
User Interface ◽  
Human Computer Interaction ◽  
Software Quality ◽  
Functional Requirements ◽  
Quality Model ◽  
Software Usability ◽  
Software Interface ◽  
The One ◽  
Computer Interaction

The software quality model describes software quality in terms of non-functional requirements. The most well-known and authoritative quality model ISO/IEC 25010, includes 8 related characteristics: functionality, performance, compatibility, usability, reliability, security, maintainability, and portability. The article materials are limited only by the quality of the software in terms of usability characteristics. The characteristic of the usability of the software should include subcharacteristics inherent in the quality of the user interface, on the one hand, as a static object, and on the other hand, subcharacteristics of the process of interaction with the user – human-computer interaction. Existing quality models and usability assessments do not combine the quality elements of the user interface itself and the user experience. The article proposes models of quality and quality assessment of the usability of the software interface of human-computer interaction, which combine the characteristics inherent directly to the user interface and the characteristics of human-computer interaction. Such models are interconnected due to a single nomenclature of subcharacteristics. The model for assessing the quality of software usability consists of two parts and includes many metrics and indicators that correspond to the indicated sub-characteristics. The purpose of the article is to develop a quality model of the usability of the software interface of human-computer interaction and a corresponding model for assessing its quality, which would combine the subcharacteristics of the quality of the user interface and the subcharacteristics of the quality of its interaction with the user. The object of the research is the subcharacteristics of the usability of the software interface of human-computer interaction. The idea of developing the model is based on the results of the analysis of the following standards: ISO / IEC 25010, ISO / IEC 25022, and ISO / IEC 25022. The provisions (subcharacteristics and metrics) of these standards were taken into account when forming the main material of this article. The taxonomy of metrics and indicators was formed by combining metrics from ISO / IEC 25022, ISO / IEC 25023, and proprietary metrics. As a result, this paper proposes a model for the quality of the usability of the software interface of human-computer interaction and a model for assessing the quality of the usability of the software interface of human-computer interaction.

Sign in / Sign up

Export Citation Format

Share Document