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Video surveillance systems obtain a great interest as application-oriented studies that have been growing rapidly in the past decade. The most recent studies attempt to integrate computer vision, image processing, and artificial intelligence capabilities into video surveillance applications. Although there are so many achievements in the acquisition of datasets, methods, and frameworks ...
- Guruh Fajar Shidik, Edi Noersasongko, Adhitya Nugraha, Pulung Nurtantio Andono, Jumanto Jumanto, Edi...
- 2019
- ScienceDirect
- ACM
- Violence Detection Among Crowd
SceinceDirect lists around 1851 papers. Figure 1demonstrates the year wise statistics. Table 1list title of 25 papers published under same area. Table 2gives the list of journals in ScienceDirect where above mentioned papers are published. Keywords always indicate the main disciplines of the paper. An analysis is conducted through keywords used in ...
ACM digital library includes 20,975 papers in the given area. The table below includes most recently published surveillance video analysis papers under deep learning field. Table 4lists the details of published papers in the area.
The above survey presents the topic surveillance video analysis as a general topic. By going more deeper into the area more focus is given to violence detection in crowd behavior analysis. Table 6lists papers specific to “violence detection in crowd behavior” from above mentioned three journals.
- G. Sreenu, M. A. Saleem Durai
- 2019
Jan 2, 2024 · Lack of real-life data: There is a huge need for real-life data collection to train effective algorithms and build computer vision applications that perform well in real-world settings. Illumination: Managing variations of illumination is difficult because trained features are hard to extract from the videos.
At its core, artificial intelligence surveillance involves the use of computer software and algorithms to analyze video footage from cameras. This analysis goes far beyond simple motion detection, which only detects changes in pixels within a scene. Traditional motion detection systems often lead to false alarms, as they cannot distinguish ...
Jul 6, 2021 · Abstract. The latest popularity of computer vision, artificial intelligence, and connectivity between the systems and processes made a solid ground for the development of intelligent video surveillance (IVS). Intelligent Video Surveillance is a new research field with a substantial amount of new studies exploring its uses and potential.
- Romas Vijeikis, Vidas Raudonis, Gintaras Dervinis
- 2021
Apr 6, 2021 · When it comes to intelligent video surveillance in particular, AI-driven products are beginning to unlock new functionality, and even change the role video surveillance plays for companies. From better sensors to higher resolution cameras to more efficient processing units, we're seeing an unparalleled convergence of hardware and software. And that's creating new opportunities for everything ...
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Jan 1, 2019 · Video surveillance systems obtain a great interest as application-oriented studies that have been growing rapidly in the past decade. The most recent studies attempt to integrate computer vision ...
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