Extracting High Level Semantics by Means of Speech, Audio, and Image Primitives in Surveillance Applications

Goldmann, Lutz; Samour, Amjad; Karaman, Mustafa; Sikora, Thomas

doi:10.1109/icip.2006.312945

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2020

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“…For instance, surveillance videos are analyzed by incorporating learning algorithms like neural networks to detect the presence of fire in a certain vicinity [6]. In addition, image enhancement techniques are also used to further provide good images for recognition [7][8] [9]. Object detection is one of the techniques that connects image processing and digital vision systems.…”

Section: Introductionmentioning

confidence: 99%

Room Surveillance using Convolutional Neural Networks - Based Computer Vision System

Navea¹

2020

IJATCSE

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Intelligent systems are capable of performing several tasks with high reliability and efficiency. Hence, these systems were used to perform tasks which are usually done by humans. In the event of facility breach or in times when primary security systems were compromised, a call for secondary line of security is needed. In this study, it is intended to design a convolutional neural network -based computer vision system that can possibly determine whether a person entering a vicinity is authorized or not using face, height, and built recognition with gender sensitivity. The designed system was able to obtain balanced precision and recall as well as achieving more than 0.9 F1 scores. This is a complementary technology that can work with automated locks or security systems.

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Section: Introductionmentioning

confidence: 99%

Room Surveillance using Convolutional Neural Networks - Based Computer Vision System

Navea¹

2020

IJATCSE

View full text Add to dashboard Cite

show abstract

Extracting High Level Semantics by Means of Speech, Audio, and Image Primitives in Surveillance Applications

Cited by 1 publication

References 4 publications

Room Surveillance using Convolutional Neural Networks - Based Computer Vision System

Room Surveillance using Convolutional Neural Networks - Based Computer Vision System

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