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Frejlichowski D.,West Pomeranian University of Technology | Gosciewska K.,West Pomeranian University of Technology | Gosciewska K.,Smart Monitor | Forczmanski P.,West Pomeranian University of Technology | Hofman R.,Smart Monitor
Sensors (Switzerland) | Year: 2014

"SmartMonitor" is an intelligent security system based on image analysis that combines the advantages of alarm, video surveillance and home automation systems. The system is a complete solution that automatically reacts to every learned situation in a pre-specified way and has various applications, e.g., home and surrounding protection against unauthorized intrusion, crime detection or supervision over ill persons. The software is based on well-known and proven methods and algorithms for visual content analysis (VCA) that were appropriately modified and adopted to fit specific needs and create a video processing model which consists of foreground region detection and localization, candidate object extraction, object classification and tracking. In this paper, the "SmartMonitor" system is presented along with its architecture, employed methods and algorithms, and object analysis approach. Some experimental results on system operation are also provided. In the paper, focus is put on one of the aforementioned functionalities of the system, namely supervision over ill persons. © 2014 by the authors; licensee MDPI, Basel, Switzerland.


Frejlichowski D.,West Pomeranian University of Technology | Gosciewska K.,West Pomeranian University of Technology | Gosciewska K.,Smart Monitor | Forczmanski P.,West Pomeranian University of Technology | And 2 more authors.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

For recent surveillance systems, the false detection removal process is an important step which succeeds the extraction of foreground regions and precedes the classification of object silhouettes. This paper describes the false object removal process when applied to the 'SmartMonitor' system - i.e. an innovative monitoring system based on video content analysis that is currently being developed to ensure the safety of people and assets within small areas. This paper firstly briefly describes the basic characteristics and advantages of the system. A description of the methods used for background modelling and foreground extraction is also given. The paper then goes on to explain the artefacts removal process using various background models. Finally the paper presents some experimental results alongside a concise explanation of them. © 2013 IFIP International Federation for Information Processing.


Frejlichowski D.,West Pomeranian University of Technology | Gosciewska K.,West Pomeranian University of Technology | Gosciewska K.,Smart Monitor | Forczmanski P.,West Pomeranian University of Technology | Hofman R.,Smart Monitor
Pattern Analysis and Applications | Year: 2015

SmartMonitor is an innovative surveillance system based on video content analysis. It is a modular solution that can work in several predefined scenarios mainly concerned with home/surrounding protection against unauthorized intrusion, supervision over ill person and crime detection. Each scenario is associated with several actions and conditions, which imply the utilization of algorithms with various input parameters. In this paper, focus is put on the analysis of foreground object patterns for the purposes of event recognition, as well as the experimental investigation of selected methods and algorithms which were developed and employed for the SmartMonitor system prototype. The prototype performs three main tasks: detection and localization of foreground regions using adaptive background modelling based on Gaussian Mixture Models, candidate objects extraction and classification using Haar and HOG descriptors, and tracking using Mean-Shift algorithm. The main goal of the work described here is to match system parameters with each scenario to provide the highest effectiveness and to decrease the number of false alarms. © 2014, The Author(s).


Gosciewska K.,West Pomeranian University of Technology | Gosciewska K.,Smart Monitor | Frejlichowski D.,West Pomeranian University of Technology | Hofman R.,Smart Monitor
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2015

The paper discusses the problem of the General Shape Analysis (GSA) and considers an attempt to adapt this approach for binary silhouette analysis in the ‘SM4Public’ system. In the GSA, for a particular test shape, one or a few most similar, general templates are indicated. Shapes are represented using shape descriptors and representations are matched using similarity or dissimilarity measure. In the paper the GSA is explained and the application of the GSA in the ‘SM4Public’ system is investigated. Using a test dataset containing binary silhouettes of various objects (extracted from the ‘SM4Public’ video database) and selected shape description algorithms, an experiment was carried out. The aim of the experiment was to verify whether the GSA can be applied in the ‘SM4Public’ system as a solution for determining the class of binary silhouettes (as a preliminary classification). © Springer International Publishing Switzerland 2015.


Trademark
Smart Monitor | Date: 2012-04-16

Non-medical movement sensing and measuring device and instrumentation system for detecting human seizures, namely, an electronic device worn on the wrist consisting of hardware, firmware, electronic sensors, global position systems, and microprocessors, which function as a unit to sense and identify certain body movements, store information related thereto and send alerts and information related thereto to another device or devices through electronic or wireless means for review or action, other than for medical purposes. Movement sensing and measuring device and instrumentation system for detecting human seizures, namely, an electronic device worn on the wrist consisting of hardware, firmware, electronic sensors, global position systems, and microprocessors, clock, and operating software which function as a unit to sense and identify certain body movements, stores information related thereto and sends alerts and information related thereto to another device or devices through electronic or wireless means, used for medical purposes.


Trademark
Smart Monitor | Date: 2013-02-15

Movement sensing and measuring device and instrumentation system for detecting human activity, sleep and wake cycles, seizures, tremors, falls, uneven gait, convulsions and abnormal or dysfunctional body movements namely, an electronic device worn on the body consisting of hardware, firmware, electronic sensors, global position systems, and microprocessors, clock, and operating software which function as a unit to sense and identify certain body movements, store information related thereto and provide and send health and medical related notifications, reminders, alerts and information to another device or devices through electronic or wireless means, used for medical and health purposes.


Trademark
Smart Monitor | Date: 2014-07-11

For: Movement sensing and measuring device and instrumentation system for detecting human seizures, namely, an electronic device worn on the wrist consisting of hardware, firmware,electronic sensors, global positioning systems, and microprocessors, clock and operating software which function as a unit to sense and identify certain body movements, stores information related thereto and sends alerts and information related thereto to another device or devices through electronic or wireless means, used for medical purposes, in class 10 (U.S. CLS. 26,39 and 44).


Trademark
Smart Monitor | Date: 2012-11-27

Movement sensing and measuring device and instrumentation system for detecting human seizures, namely, an electronic device worn on the body consisting of firmware, electronic sensors, motion detectors, global position systems, and microprocessors, clock, and operating software which function as a unit to sense and identify certain body movements, stores information related thereto and sends alerts and information related thereto to another device or devices through electronic or wireless means for review and action. Medical apparatus and movement sensing and measuring device and instrumentation system for detecting human seizures, namely, an electronic device worn on the body consisting of firmware, electronic sensors, motion detectors, global position systems, and microprocessors, clock, and operating software which function as a unit to sense and identify certain body movements, stores information related thereto and sends alerts and information related thereto to another device or devices through electronic or wireless means used for medical purposes.


Patent
Smart Monitor | Date: 2015-01-16

In an embodiment, a seizure monitor provides intelligent epilepsy seizure detection, monitoring, and alerting for epilepsy patients or people with seizures. In an embodiment, the seizure monitor may be a wearable, non-intrusive, passive monitoring device that does not require any insertion or ingestion into the human body. In an embodiment, the seizure monitor may include several output options for outputting the accelerometer/gyro or other motion sensor data and video data, so that the data may be immediately validated and/or remotely viewed. The device alerts are communicated to the outside care givers via wireless or wired medium. The device may also support recording of accelerometer or other motion sensor data and video data, which can be reviewed later for further analysis and/or diagnosis. The device and invention is also used and applicable for other body motion disorders or detection and diagnostics.


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