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Unmanned Aerial Vehicle (UAV) imagery are being assessed for analyzing within field spatial variability for agricultural precision management, because unmanned aerial vehicle imagery may be acquired quickly during critical periods of rapid crop growth. The objective of this study was to evaluate the use of unmanned aerial vehicle for the monitoring barley growth. Unmanned aerial vehicle imagery obtained...
The use of smartphones increasingly inseparable from human life. However, many users are using smartphones too often, so that they forget the time and consciously or unconsciously looked too close and too tilted to the screen of their smartphone. This bad habit that commonly done by smartphone users to correct the eye vision of what they were seeing on their smartphone's screen are highly unhealthy,...
This paper proposes a methodology to be used in the segmentation of infrared thermography images for the detection of bearing faults in induction motors. The proposed methodology can be a helpful tool for preventive and predictive maintenance of the induction motor. This methodology is based on manual threshold image processing to obtain a segmentation of an infrared thermal image, which is used for...
Plume opacity monitoring is important activity in management of air emission quality from stationary sources. This paper develops an imaging based method for plume monitoring. The image is acquired by using digital camera equipped with tele lens. Data collecting of plume opacity monitoring was conducted on a textile industrial estate in Bandung under ideal conditions where the horizontal distance...
The analysis of multimodal data collected by innovative imaging sensors, Internet of Things (IoT) devices and user interactions, can provide smart and automatic distant monitoring of patients and reveal valuable insights for early detection and/or prevention of events related to their health situation. In this paper, we present a platform called ICT4LIFE which starting from low-level data capturing...
If a target is flanked by non-target and incongruent stimuli, human response to the target is delayed (Eriksen flanker effect). The flanker effect is enhanced when the task is shared by two people and a person's target is flanked by non-target stimuli that are identical to his/her partner's target (Joint flanker effect). We aimed to test whether the joint flanker effect could occur in a virtual environment...
The paper presents Park Smart, a solution which aim is to solve the pain of finding a free parking space in public and private areas (e.g. cities, malls, etc.), and hence to optimize parking stalls allocation as well as to increase revenues for the companies which manage them. The proposed solution exploits cutting edge technologies such as IoT, Cloud Computing and Deep Learning.
In the transport and traffic management system, tracking of vehicles on road is a prime importance vehicles are identified by reading their number plate, the existing system becomes complicated when there is a large number of vehicles being traced at different locations and therefore automatic license plate recognition ALPR is used to extract the contents of the number plate. The image can be fetched...
Robot teleoperation, such as for search and rescue, uses multiple specialized cameras (e.g., wide environmental and sharp narrow views) to aid in task awareness. Simple display techniques, such as tiling, require ongoing mental mapping between the views; cameras that pan or tilt exacerbate the problem as the inter-view relationship changes. The detail-in-context technique bypasses this mental mapping...
Intelligent Transportation Systems (ITSs) are built considering numerous legal regulations, organisational conditions, and user needs. For this reason, they cannot be sold as plug & play products and their implementation requires a clear definition of functional and technical requirements. The primary objective of ITSs is to improve the efficiency and safety of road traffic. In fact, nowadays,...
Drosophila larvae are an insightful model and the automated analysis of their behavior is an integral readout in behavioral biology. Current tracking systems, however, entail a disturbance of the animals, are labor-intensive, and cannot be easily used for long-term monitoring purposes. Here, we present a novel monitoring system for Drosophila larvae, which allows us to analyze the animals in cylindrical...
Image-based systems are increasingly being used for Structural Health Monitoring (SHM) applications. Video-based motion tracking algorithms can be used to analyse dynamic responses characterised by low frequencies, large deflections and low damping ratios. The advantages of image processing over other methods include the ability to track multiple points on a structure, its scalability, and its ease...
Before inception of Internet of Things (IoT), personal computers and laptop were used to handle daily tasks of individuals like mail surfing, access to bank portal, observing current temperature, among others. Nowadays, IoT-enabled smart devices like smart mobile phones, PDAs, and tablets are being used by them for such tasks due to rapid growth in IoT. Smart homes have been widely accepted by individuals...
In order to obtain real-time accurate detection of smoke in the panoramic area, a visual-based smoke early warning system is designed. A 180-degree holographic and high speed camera is equipped as the video capture part of the system, and the video acquisition and target lock functions are implemented. The intelligent recognition function is separated into three steps. Firstly, the suspected smoke...
Fall is one of the major health challenges facing the elderly adults, especially the adults with high fall risk factors. In this paper, we aim to build a video-based model to mitigate the consequences of fall of the elderly at two application scenarios: (1) predict the fall risk caused by unbalanced gait and (2) detect a fall event as soon as it happens. In the first stage, we use a common camera...
Correct and realistic sensing model is of great significance for camera sensor networks to perform target coverage task. In most previous works, each target is considered as a point. However, some crucial features (e.g., size) of the target should be considered in the real world. In this paper, we propose an effective resolution sensing model based on region of interest (ROI), in which rigorous theoretical...
Crowd behaviour analysis is a challenging task in computer vision, mainly due to the high complexity of the interactions between groups and individuals. This task is particularly crucial given the magnitude of manual monitoring required for effective crowd management. Within this context, a key challenge is to conceive a highly generic, fine and context-independent characterisation of crowd behaviours...
This article proposes an Intelligent Tracking System for Acute Respiratory Tract Infection (TrackARTI) via a smart mobile for monitoring disease term of 0-6 age group child patients remotely (e.g. home, clinics). It is possible to maximize the quality of life of the child patients and decrease parental anxiety by keeping the child under control during monitoring stage and achieve a proper distant...
In this paper we discuss and analyze possible futures for technologies in the field of computer vision (CV). Using a method we have coined speculative analysis we take a broad look at research trends in the field to categorize risks, analyze which ones are most threatening and likely, and ultimately summarize conclusions for how the field may attempt to stem future harms caused by CV technologies...
The EU funded project RADIO brings forward a new health care paradigm according to which a mobile robot platform can act as assistant to an elderly person in his/her domestic environment. Under this context, unobtrusiveness is of paramount importance since the robot should be a natural participant of patients' daily life. However, robot assistance in everyday living still suffers from limited autonomy...
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