SmartMonitor: An Approach to Simple, Intelligent and Affordable Visual Surveillance System

Frejlichowski, Dariusz; Forczmański, Paweł; Nowosielski, Adam; Gościewska, Katarzyna; Hofman, Radosław

doi:10.1007/978-3-642-33564-8_87

Cited by 11 publications

(4 citation statements)

References 7 publications

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“…These approaches are relatively simpler than GMM, however they do not provide an accurate update of the background image when scene content changes over the time and may cause the appearance of artefacts. The problem of foreground extraction was also investigated in [12].…”

Section: Background Modelling and Foreground Extractionmentioning

confidence: 99%

Application of foreground object patterns analysis for event detection in an innovative video surveillance system

Frejlichowski

Gościewska

Forczmański

et al. 2014

Pattern Anal Applic

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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.

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Section: Background Modelling and Foreground Extractionmentioning

confidence: 99%

Application of foreground object patterns analysis for event detection in an innovative video surveillance system

Frejlichowski

Gościewska

Forczmański

et al. 2014

Pattern Anal Applic

Self Cite

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“…It can be utilized both inside and outside the building to increase security in houses, private apartments, nursing homes, small businesses or shops, as well as in backyards, gardens, parking spaces, building surroundings, especially near entrances or windows. “SmartMonitor” has already been described in literature [1–4]. …”

Section: Introductionmentioning

confidence: 99%

“SmartMonitor”— An Intelligent Security System for the Protection of Individuals and Small Properties with the Possibility of Home Automation

Frejlichowski

Gościewska

Forczmański

et al. 2014

Sensors

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“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.

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“…Some of the most recent publications are for example [3,12,13,14]. The problem can be also related to depth and distance recovery [6] and surveillance [8].…”

Section: Introductionmentioning

confidence: 99%

Advantages of Using Object-Specific Knowledge at an Early Processing Stage in the Detection of Trees in LIDAR Data

Chmielewski

Bator

Olejniczak

2014

Computer Vision and Graphics

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SmartMonitor: An Approach to Simple, Intelligent and Affordable Visual Surveillance System

Cited by 11 publications

References 7 publications

Application of foreground object patterns analysis for event detection in an innovative video surveillance system

Application of foreground object patterns analysis for event detection in an innovative video surveillance system

“SmartMonitor”— An Intelligent Security System for the Protection of Individuals and Small Properties with the Possibility of Home Automation

Advantages of Using Object-Specific Knowledge at an Early Processing Stage in the Detection of Trees in LIDAR Data

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