Michel Findeisen

Bio: Michel Findeisen is an academic researcher from Chemnitz University of Technology. The author has contributed to research in topics: Video tracking & Stereo cameras. The author has an hindex of 6, co-authored 11 publications receiving 94 citations.

Automated real-time surveillance for ambient assisted living using an omnidirectional camera

Abstract: In this paper an automated video based real-time surveillance system is presented. This system is based on an omnidirectional camera and a multiple object tracking technique for applications in the field of AAL (Ambient Assisted Living). This system is able to monitor a complete room with a single camera and, in addition, to track the people entering and leaving this room. The software was implemented for an embedded platform which acts as a smart sensor.

A fast approach for omnidirectional surveillance with multiple virtual perspective views

Abstract: In recent years, video surveillance combined with computer vision algorithms like object detection, tracking or automated behaviour analysis has become an important research topic. However, most of these systems are depending on either fixed or remotely controlled narrow angle cameras. When using the former, the area of coverage is extremely limited, while utilizing the latter leads to high failure rates and troubles in camera calibration. In this paper, a method of extracting multiple perspective views from a single omnidirectional image for realtime environments is proposed. An example application of a ceiling-mounted camera setup is used to show the functional principle. Furthermore a performance improvement strategy is both presented and evaluated.

Assessment and care system based on people detection for elderly suffering from dementia

Abstract: This paper presents a novel AAL (Ambient Assisted Living) concept related to the care of people suffering from dementia In our project, we are developing a stereo vision-based system designed to identify the deficits of demented people who are still capable of living at home In this way, the assessment of their need of care can be improved Furthermore, the system supports demented people during their daily life at home By this means, they can stay longer in their familiar environments, which contributes to the preservation of their health

Virtual perspective views for real-time people detection using an omnidirectional camera

Abstract: Considering the growing demand for public security systems the lack of availability of automated surveillance systems is a focal problem. Practical systems have to provide key features like: robust people localization, object detection and event decision, real-time processing and low overall system cost. In this paper we present a real-time indoor people tracking and surveillance system based on a single omnidirectional camera. The proposed approach utilizes linear-time algorithms in conjunction with a hardware-oriented implementation. The software was realized for an embedded microprocessor platform which acts as a smart sensor. The presented system aims at real-world scenarios and targets applications in surveillance, security, consumer electronics, home automation and ambient assisted living.

Effective display resolution of 360 degree video footage in virtual reality

Abstract: 360 degree video entertainment is one of the major applications of the emerging technology of virtual reality. However, the success of immersive video is impeded by the limited effective display resolution of 360 degree footage. In this paper we present a general methodology to assess resolution loss during the projection process and therefore help to design novel 360 video systems.

A smart communication architecture for ambient assisted living

Abstract: Intelligent systems and communication technologies have experienced huge advances in the last few years. AAL can benefit from mixing both research fields. This article presents an intelligent communication architecture for AAL. It uses artificial intelligence to process the information gathered from several types of communication (e.g., wireless sensor networks, wireless ad hoc networks, wireless mesh networks) over any type of communication technologies (e.g., deviceto- device, machine-to-machine, sensor-actuator), know what is happening in the network, and detect if elderly people need assistance. The article shows the main intelligent algorithms included in the AAL system and the developed software application. Several real measurements validate the operation of our proposal.

An IoT-aware AAL system for elderly people

Abstract: The rapid aging of the population occurred in recent years has encouraged the development of several solutions aimed to guarantee a healthy and safe lifestyle to the elderly. In this paper, an Ambient Assisted Living (AAL) system has been designed in order to create better living conditions for older people. In this way, people can live independently longer in their own house with an improved quality of life. The proposed system includes several features. On the one hand, it is able to continuously monitor the health status of the elderly through data coming from heterogeneous sources (i.e., environmental sensors and medical devices). On the other hand, it is able to guarantee outdoor and indoor localization aimed to know the real-time position of the elderly both inside and outside their home. A remote reasoning system processes all collected data with the aim of generating appropriate events and alerts. The architecture was validated from a functional point of view through a proof-of-concept.

Sensors and Systems for Physical Rehabilitation and Health Monitoring-A Review.

Abstract: The use of wearable equipment and sensing devices to monitor physical activities, whether for well-being, sports monitoring, or medical rehabilitation, has expanded rapidly due to the evolution of sensing techniques, cheaper integrated circuits, and the development of connectivity technologies. In this scenario, this paper presents a state-of-the-art review of sensors and systems for rehabilitation and health monitoring. Although we know the increasing importance of data processing techniques, our focus was on analyzing the implementation of sensors and biomedical applications. Although many themes overlap, we organized this review based on three groups: Sensors in Healthcare, Home Medical Assistance, and Continuous Health Monitoring; Systems and Sensors in Physical Rehabilitation; and Assistive Systems.

Internet of things for measuring human activities in ambient assisted living and e-health

Abstract: Internet of things (IoT) is a new paradigm that combines several technologies such as computers, Internet, sensor networks, radio frequency identification (RFID), communication technology and embedded systems to form a system that links the real world with digital world. Currently, a large number of smart objects and different type of devices are interconnected and more and more they are being used in Ambient Assisted Living (AAL) scenarios for improving the daily tasks of elderly and disabled people. This paper presents an IoT architecture and protocol for Ambient Assisted Living and e-health. It is designed for heterogeneous AAL and e-health scenarios where an IoT network is the most suitable option to interconnect all elements. Finally, we simulate a medium-size network with four protocols especially designed for networks with important energy constraints in order to show their performance