Intelligent Video Surveillance System Using Dynamic Saliency Map and Boosted Gaussian Mixture Model

Lee, Wono; Lee, Giyoung; Ban, Sang-Woo; Jung, In-Soung

doi:10.1007/978-3-642-24965-5_63

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…The most popular method for modelling the backdrop in relation to foreground picture attributes is background subtraction. Mean or median-based models [11]- [14], Gaussian distribution models [15]- [17], Mixture of Gaussian (MOG) models [18]- [20], Stereo vision-based disparity models [21], [22], and others are often used, backdrop models. One of the practical techniques for backdrop reduction uses stereo vision to combine 3D information with 2D disparity points.…”

Section: Introductionmentioning

confidence: 99%

Accurate Movement Detection of Artificially Intelligent Security Objects

Al Shibli,

Al-Harthi,

Palanisamy

2023

EJECE

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A number of intelligent applications demand multiple item detection and tracking as vital elements. Although object search links the identified object through a series of frames, object detection pinpoints the thing's location in a scene. Over the last few decades, a wide range of approaches has been created, which may be divided into 2D and stereo-based 3D techniques. When used in limited circumstances, most of these strategies yield trustworthy findings. These limiting presumptions are used to determine the number of complex elements that object detection and tracking naturally entail. Environmental factors, object appearance, flow density, backdrop colour intensity information, the amount of time an object is present in the scene, object occlusion, a scene's maximum number of things, etc., are among the most often held presumptions. In real-time applications, these approaches' dependability is not assured. A modern surveillance system needs reliable object identification and tracking in an open area.

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Section: Introductionmentioning

confidence: 99%

Accurate Movement Detection of Artificially Intelligent Security Objects

Al Shibli,

Al-Harthi,

Palanisamy

2023

EJECE

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“…The main tasks addressed by VCA are object detection, recognition and tracking. Many systems of such capabilities have been recently described in the literature, e.g., a system using dynamic saliency map for object detection and boosted Gaussian Mixture Model with Adaboosting algorithm for object classification [8], an automated surveillance system using omnidirectional camera and multiple object tracking [9], a smart alarm surveillance system using improved multiple frame motion detection and layered quantization compression technology for real-time surveillance with possibility of remote viewing [10] or a real-time surveillance system using integrated local texture patterns [11]. There are also some recent solutions combining both sensors and VCA.…”

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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