ISAR Imaging for Security and Surveillance" by M. Cherniakov et al. (2013
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Radar technology, such as the holographic radar Rascan 4/4000, has the potential to provide high-resolution subsurface images of critical infrastructures for monitoring and conservation purposes . Gait recognition systems based on computer vision techniques can use the gait signature derived from silhouette images to identify individuals in video surveillance footage . Visualization systems can be adapted to improve the efficiency of security information and event management system operators by considering their increased fatigue and reduced attention span . A smart camera system based on OpenCV can be used to detect unwanted activities, such as theft, by identifying objects and using face recognition techniques . A home security surveillance system can be developed using sensors to detect movement and changes in temperature, and images of intruders can be captured and sent to a mobile phone .
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| Papers (5) | Insight |
|---|---|
| The provided paper is not "ISAR Imaging for Security and Surveillance" by M. Cherniakov et al. (2013). The provided paper is about the development of a camera and GSM interfacing system for home security surveillance. | |
19 Dec 2013 | The provided paper is not "ISAR Imaging for Security and Surveillance" by M. Cherniakov et al. (2013). The provided paper is titled "Automatic Theft Security System (Smart Surveillance Camera)" by Chandrika Prasad. |
Open access•Proceedings Article 01 Jan 2013 | The provided paper is not "ISAR Imaging for Security and Surveillance" by M. Cherniakov et al. (2013). The provided paper is about adaptive security event visualization for continuous monitoring. |
| The provided paper is not "ISAR Imaging for Security and Surveillance" by M. Cherniakov et al. (2013). The provided paper is about the potentialities of the holographic radar Rascan 4/4000 as a non-destructive diagnostic tool for monitoring critical infrastructures. | |
09 Mar 2013 2 Citations | The provided paper is not "ISAR Imaging for Security and Surveillance" by M. Cherniakov et al. (2013). The provided paper is "Speed Invariant, Human Gait Based Recognition System for Video Surveillance Security". |
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