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Human detection and localization has attracted much attention in security applications because of the increasing demand of safety and security in different environments, including surveillance systems, secure access control, person recognition, border monitoring, preventing criminal acts, intrusion detection, alarm monitoring, and so on. This article proposes a robust approach for human detection...
Human biometrics are regarded as groundbreaking tools for preserving privacy and security in many computer vision applications such as, biometric authentication, secure access control, visa processing, and border checking. Biometric features such as, fingerprint, face, retina, iris patterns, voice waves, palm print and signatures are commonly used in biometric authentication. However, in recent years...
Image filtering is a key technology in image processing applications for de-noising corrupted images. Digital images are often polluted by noise during capturing and hence they may not show the features or colors clearly. Image filtering removes the noise in an image and improves the contrast to provide better input for various image processing applications. This paper proposes an efficient image...
Stereo matching is an extensively researched topic in computer vision. Stereo matching algorithms are essential for recovering depth information of objects. Existing state-of-the-art stereo methods require very high processing times. Consequently, we cannot employ them in commercial applications though they are very accurate and robust. With a view to reduce the computation time this paper presents...
Accurate detection and position estimation of human objects is essential in many security applications including door access control, surveillance monitoring, intrusion detection, alarm monitoring and so on. This paper proposes an efficient approach for human detection and localization in secure access control by analysing facial features. The proposed technique captures the video scenes using a stereo...
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