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Object tracking in computer vision plays an important role for automating the process of video surveillance and robot navigation. The trajectories of every moving object are analyzed to further interpret the events in a scene. Occlusion problem is always the main challenge that interrupts the tracking trajectory and reduces the tracking performance. Thus, this paper aims to investigate an improved...
Lately, finger vein has been recognized as an efficacious biometric method for user authentication due to the uniqueness of vein patterns and its insusceptibility to forgery because the vein patterns reside inside the human body. In this work, hybrid histogram descriptor is the proposed method. This method utilizes the sign and magnitude components of the texture extracted by using Binary Gradient...
Face spoofing attack is one of the recent security problems that face recognition systems are proven to be vulnerable to. The spoofing occurs when an attacker bypass the authentication scheme by presenting a copy of the face image for a valid user. Therefore, it's very easy to perform a face recognition spoofing attack with compare to other biometrics. This paper, presents a novel and efficient facial...
Based on the ongoing development in the Long Term Evolution (LTE), it was brought in to satisfy user's needs and demands on the enhancement of the wireless network's Quality of Service, especially for real-time applications. Real-time applications require low delay; in order to have a better user's experience. Hence, a scheduling framework focuses on real-time applications has been proposed and developed...
Although a plethora of research evidence highlights positive and significant outcomes of the incorporation of the Graphing Calculator (GC) in mathematics education, its use in the teaching and learning process appears to be limited. The obvious need to revisit the teaching and learning of Probability has resulted in this study, i.e. to incorporate GC in the teaching and learning of Probability, specifically...
The automatic face tracking and detection has been one of the fastest developing areas due to its wide range of application, security and surveillance application in particular. It has been one of the most interest subjects, which suppose but yet to be wholly explored in various research areas due to various distinctive factors: varying ethnic groups, sizes, orientations, poses, occlusions and lighting...
With the unambiguous statement on the importance of facial configuration for the judgments of human emotion, facial expression recognition has been the utmost research in affective computing in the recent years. The motive is to empower computer so that it could be adaptive to extracting and classifying various user emotions into the ldquouniversal facial expressionsrdquo or its subsets. This paper...
Prior empirical studies in the implementation of general information technologies (IT) have revealed that IT adoption and usage were determined by user beliefs and attitudes. However, little is known about how user beliefs and attitudes form and change over time. To address these issues, this paper reports a study of 481 inexperienced and 120 experienced potential users on learning objects. Technology...
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