scholarly journals Metropolitan intelligent surveillance systems for urban areas by harnessing IoT and edge computing paradigms

2018 ◽  
Vol 48 (8) ◽  
pp. 1475-1492 ◽  
Author(s):  
Rustem Dautov ◽  
Salvatore Distefano ◽  
Dario Bruneo ◽  
Francesco Longo ◽  
Giovanni Merlino ◽  
...  
Keyword(s):  
Urban Areas ◽  
Edge Computing ◽  
Surveillance Systems ◽  
Intelligent Surveillance

scholarly journals Præventive potentialer – Populærkulturens overvejelser om overvågning

2018 ◽  
pp. 99-112
Author(s):  
Lone Koefoed Hansen ◽  
Christopher Gad
Keyword(s):  
Popular Culture ◽  
Technological Development ◽  
Entry Point ◽  
Surveillance Systems ◽  
Research Project ◽  
Intelligent Surveillance ◽  
Technological Research ◽  
The Future ◽  
Minority Report ◽  
Basic Level

This article uses the movie Minority Report (2002) as an entry point for discussing conceptions of surveillance technologies and their preventive capacities. The technological research project Intelligent Surveillance Systems located in Belfast shares a vision with MR: that it is possible to construct surveillance systems that are able to foresee criminal acts and thus to prevent them from happening. We argue that the movie exemplifies that technological development and popular culture share dreams, ideas and visions and that on a very basic level, popular culture informs technological development and vice versa. The article explores this relation and argues that popular culture provides analytic insight on important discussions about surveillance and the (future) capacities of technology.

Intelligent Surveillance Systems for Smart Cities: A Systematic Literature Review

2021 ◽  
pp. 135-147
Author(s):  
Nour Ahmed Ghoniem ◽  
Samiha Hesham ◽  
Sandra Fares ◽  
Mariam Hesham ◽  
Lobna Shaheen ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Smart Cities ◽  
Surveillance Systems ◽  
Intelligent Surveillance

scholarly journals Motion Saliency Detection for Surveillance Systems Using Streaming Dynamic Mode Decomposition

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1397
Author(s):  
Thien-Thu Ngo ◽  
VanDung Nguyen ◽  
Xuan-Qui Pham ◽  
Md-Alamgir Hossain ◽  
Eui-Nam Huh
Keyword(s):  
Saliency Detection ◽  
Saliency Map ◽  
Dynamic Mode Decomposition ◽  
Dynamic Mode ◽  
Detection Accuracy ◽  
Surveillance Systems ◽  
Reconstruction Process ◽  
Intelligent Surveillance ◽  
Mode Decomposition ◽  
Motion Saliency

Intelligent surveillance systems enable secured visibility features in the smart city era. One of the major models for pre-processing in intelligent surveillance systems is known as saliency detection, which provides facilities for multiple tasks such as object detection, object segmentation, video coding, image re-targeting, image-quality assessment, and image compression. Traditional models focus on improving detection accuracy at the cost of high complexity. However, these models are computationally expensive for real-world systems. To cope with this issue, we propose a fast-motion saliency method for surveillance systems under various background conditions. Our method is derived from streaming dynamic mode decomposition (s-DMD), which is a powerful tool in data science. First, DMD computes a set of modes in a streaming manner to derive spatial–temporal features, and a raw saliency map is generated from the sparse reconstruction process. Second, the final saliency map is refined using a difference-of-Gaussians filter in the frequency domain. The effectiveness of the proposed method is validated on a standard benchmark dataset. The experimental results show that the proposed method achieves competitive accuracy with lower complexity than state-of-the-art methods, which satisfies requirements in real-time applications.

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