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Respiratory rate during sleep is one of the important vital sign for home healthcare. Therefore, noncontact respiration monitoring method during sleep without uncomfortable feelings caused by sensor-insertion is needed. The purpose of this study is to develop the noncontact respiration monitoring method during sleep using only low priced web-camera. The innovative point is to adopt the bed cover with...
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...
In this paper, the problem of queue in convenient stores is considered. We propose a low cost automatic queue length monitoring system by using an Internet-of-Things (IoT) platform. This system can detect the length of queue and the number of people that enqueue and leave the queue. If the length of queue is critical, the system will alert to staff via LINE Notify. Experimental results indicate that...
Keeping students attentive during lectures may significantly improve learning outcomes. Traditional methods of attention estimation cannot offer a real-time feedback to the teacher. We present a technical concept of student attention monitoring during a lecture. The system utilizes a set of cameras providing tracking of the behavior of individual students in the classroom. The monitoring system is...
The field of Human Action Recognition has expanded greatly in previous years, exploring actions and interactions between individuals via the use of appearance and depth based pose information. There are numerous datasets that display action classes composed of behaviors that are well defined by their key poses, such as ‘kicking’ and ‘punching’. The CONVERSE dataset presents conversational interaction...
In this paper, we proposed an IoT-based visitor detection system. It uses an IR sensor to detect human body and two ultrasonic sensors to locate visitor servo motor under the position. When a visitor is detected it drives camera module to locate the visitor. Recoded video and sensor data are stored in the Database. Saved data can see via the PC and Smart device. We developed the system using Raspberry...
We propose a novel e-rehabilitation system based on a commercial RGB-D device. Differently from exergaming approaches, clinical objectives scores of each specific body part involved in the exercise are computed. Subjects performances are sent to the physiotherapists in order to support and improve decisions and therapies.
Human Activity Recognition is one of the active research areas in computer vision for various contexts like security surveillance, healthcare and human computer interaction. In this paper, a total of thirty-two recent research papers on sensing technologies used in HAR are reviewed. The review covers three area of sensing technologies namely RGB cameras, depth sensors and wearable devices. It also...
Early detection of forest fires has a huge importance in terms of the forest protection. In previous studies, wildfires detected with the help of fixed camera and computer. The camera used only monitors a specific region, for the rest of this region either an another camera is used or it just cannot be monitored. In this paper, we propose an approach that can monitor the whole 360o field using only...
Pedestrian counting is widely used in civilian surveillance. In this paper, we present a people counting system which estimates the number of people across multiple cameras with partial overlapping Fields Of Views (FOVs). The main contributions of this paper include: 1) we propose a multi-object detection and tracking method by means of synthesizing the local-feature-level information into object-level...
In this paper, we proposed a fast people counting method using the sampled motion statistics. Unlike most traditional approaches uses tracking methods to monitor the moving target until passing through the gate (or region), our method only analyzed motion information in the region of interest to achieve bi-directional people counting. By setting a variety of parameters, a sampled image area according...
In this paper we propose a design using multiple remotely enhanced hand-computer interaction devices (REHCID) to design a real-time breathing detection system. Due to the restricted detection angle of our previously proposed system, unstable detection can be encountered when patients turn the body over. Our new REHCID placed on both sides of the bed allow the system to detect the patient's breathing...
3D-capable devices have entered the consumer market. The depth that is perceived with stereoscopic content is strongly linked to the size of the screen in which it is displayed. We tested the effect that different display sizes have on the quality of experience of 3D content and we offer some recommendations.
Workflow recognition through processing of humans and objects in a camera sensor network, presents a significant challenge recently. Human action recognition and sequence of actions manipulation, that construct a workflow situation/rule, has many practical applications in many different real human application environments. This article presents a multi agent based real time infrastructure, for recognizing...
In this paper, we propose a probabilistic method to model the dynamic traffic flow across non-overlapping camera views. By assuming the transition time of object movement follows a certain global model, we may infer the time-varying traffic status in the unseen region without performing explicit object correspondence between camera views. In this paper, we model object correspondence and parameter...
Respiration rate is an important indicator of an individual's health. Existing respiration monitoring systems are usually contact based, and so the sensing device is attached to the subject's body. This creates discomfort to the patient and can interfere with normal breathing. This paper presents a vision based contactless method of monitoring respiration rate. The method involves image and signal...
In this paper we use both an embedded system and a Webcam to design an embedded monitor system for body breath detection (EMSFBBD) which monitors and records the patient's breath and sends the information to a specific server through the Internet. Our design uses image processing methods to monitor and record human breath fluctuation and to calculate the breath rate. If the breath rate is too low,...
Vessel dynamics video monitoring system is one of the most significant components in port safety and traffic management. This paper intends to discuss the key points in the design of the system: firstly, the data concerning vessel dynamics position are acquired via AIS; then intelligent video tracking system automatically drives intelligent spherical cameras to monitor vessels in port. Also system...
Elder-care is a very important issue in many developed countries such as U.S., Japan, England and Taiwan. In this paper, we focus on the bed status detection (BSD) with single IP camera for the chronic ailment and act slowly elders in the elder-care center (EC). Based on simple and fast motion estimation (ME) and binary area matching (BAM) algorithms, we can automatically remind the professional nurse...
Video surveillance systems are used in a variety of applications from home health monitoring to commercial security systems. A fixed or rotating camera has limitations as to the coverage area and resolution of the captured image. In this article we propose a new concept for the implementation of surveillance that shows significant improvement over the performance of distributed single cameras system...
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