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As the elderly population grows rapidly, many social problems arise. In order to help enhance the lives of the elderly, many applications and devices have been developed. However, they are still limited to certain situations and lack some ability for remote assistance. Therefore, we present a projector-camera based assistance device for the elderly. It takes advantage of projection AR technologies...
Surveillance footage has become an integral part of law enforcement as video cameras become ubiquitous, affordable and more reliable. Dynamic vision sensor (DVS) emerges as a new sensing technology that outsmarts existing static CMOS image sensors in vision-enabled traffic monitoring, assisted living and high-speed target tracking for its low latency, high temporal resolution and wide dynamic range...
The work in progress described in this paper has the objective to implement a beehive monitoring system to monitor essential parameters of a bee hive (such as temperature, sound, weight) and additionally including an image recognition algorithm to observe the degree of infestation with Varroa mites. Mites should be detected at the entrance and statistics about the degree of infestation should be made...
This paper presents a novel strategy for weed monitoring, using images taken with unmanned aerial vehicles (UAVs) and concepts of image analysis and machine learning. Weed control in precision agriculture designs site-specific treatments based on the coverage of weeds, where the key is to provide precise weed maps timely. Most traditional remote platforms, e.g. piloted planes or satellites, are, however,...
In this paper, we study full-view coverage in camera sensor networks, by exploiting their limited mobility of orientation rotation. We focus on the fairness based coverage maximization problem, i.e., how to schedule the orientations of the camera sensors to maximize the minimum accumulated full-view coverage time of target points. To solve this problem, we first try to reduce the space dimension of...
The tsunami of video services brings huge pressure on communication systems, especially on some bandwidth-limited scenarios like wireless networks. Represented by H.264, current video compression approaches can save the transmission bandwidth by reducing the intra- and inter-frame redundancy. However, the huge amount of video content redundancy (VCR) in the transmission is still existing. In this...
Robust automatic detection of moving objects in a marine context is a multi-faceted problem due to the complexity of the observed scene. The dynamic nature of the sea caused by waves, boat wakes, and weather conditions poses huge challenges for the development of a stable background model. Moreover, camera motion, reflections, lightning and illumination changes may contribute to false detections....
Fixed underwater observatories (FUOs) equipped with a variety of sensors including cameras, allow long-term monitoring with a high temporal resolution of a limited area of interest. FUOs equipped with HD cameras enable in situ monitoring of biological activity, such as live cold-water corals on a level of detail down to individual polyps. We present a workflow which allows monitoring the activity...
An efficient photoplethysmography imaging system and advanced algorithm for continuous monitoring of skin microcirculation was developed. The system comprises compact device and computer with software for visualizing of skin blood volume changes. The software is able to process high-resolution microcirculation amplitude maps in real-time. It was tested in clinical environment during the regional anesthesia...
Texture feature is an important feature descriptor for many image analysis applications. The objectives of this research are to determine distinctive texture features for crowd density estimation and counting. In this paper, we have comprehensively reviewed different texture features and their different possible combinations to evaluate their performance on pedestrian crowds. A two-stage classification...
Respiratory Rate (RR) is one of the key vital signs that is routinely monitored by medical professionals and health care providers. Remote monitoring of it helps in detecting several clinical conditions and low-cost sensors are needed in telemedicine. Most of the current day measurement systems for RR involve the use of sensors that are in contact with the subject, causing discomfort. In case of neonates,...
The number of people suffering from motor impairment is increasing as incidence involving limb injuries can easily happen. These injuries may be traumatic injuries, congenital deformities, neurological and arthritic conditions or regional pain syndrome. Some of these injuries need operative procedure, whilst others use interventive methods. Regardless of the treatment performed, a vital component...
Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendation...
This paper proposes a statistical approach to detect and classify human falls based on both visual data from camera and accelerometric data captured by accelerometer. Specifically, we first use a Shewhart control chart to detect the presence of potential falls by using accelerometric data. Unfortunately, this chart cannot distinguish real falls from fall-like actions, such as lying down. To bypass...
Technical advancements allow for the development of crowd monitoring and management support systems to ensure the safety of pedestrians during large-scale events. This way, pedestrian behaviour can be monitored during events, and potential dangerous situations can be identified in a timely manner. A real-time prototype Crowd Monitoring Dashboard has been developed for a large nautical event in Amsterdam...
Accurate heart rate detection is important in healthcare and exercise monitoring. Recently, heart rate monitoring using a smartphone has been highlighted due to its convenience and accuracy. In this paper, we hypothesize that our smartphone-based heart rate detection algorithm reliably detects heart rate based on fingertip image changes. Here, we have used successive video camera fingertip images...
Many vision-based systems have been proposed for intersection monitoring, but few of them use wide angle cameras. In this paper, we present a fisheye-stereo monitoring system that will be installed especially in rural areas. Our goal is to estimate the extrinsic calibration decoupled into a rotation followed by a translation. In the context of rural intersections, methods that purely rely on the geometry...
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...
The compact remote photoplethysmography device for monitoring of blood volume pulsations from human skin were developed. The prototype device comprises electronics board with twelve circullary oriented bright near-infrared LED illuminators, which are precisely controlled, high-speed video camera and battery charging circuit. Device was tested in laboratory and could be used for non-contact monitoring...
In this paper, the DSSC safety-interlock system is introduced. It is designed to keep the DSSC mega-pixel camera in a safe-state. The system is composed of four inter-communicating sub-systems referred here as a master SIB (safety-interlock board) and three partner SIBs. Each SIB monitors and processes 75 temperature sensors mainly located in the focal plane and also distributed inside the camera-head...
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