Drug usage is a significant global economic issue that results in countless losses. This study suggests a convolutional neural network-based image processing method for identifying drugged eyes. The front-end packages...
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Metallurgical industries want to be able to effectively control the quality of their products in order to maintain their prestige and increase their customer base. Therefore, the design and implementation of an optima...
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Smart home technologies are getting considerable attentions nowadays for better care of the residents, especially the elderly. One of the key technologies is the human activity recognition (HAR) system which automatic...
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Smart home technologies are getting considerable attentions nowadays for better care of the residents, especially the elderly. One of the key technologies is the human activity recognition (HAR) system which automatically recognizes various indoor activities of a resident and reacts upon the needs of the resident, known as a proactive system. In this work, we propose a novel HAR system that utilizes depth imaging. Our HAR system utilizes local binary patterns (LBP) as local activity features from depth silhouettes and recognizes human activities via Hidden Markov Model (HMM). In our methodology, first LBP features were extracted from depth human body silhouettes from each frame of a video containing human activity. Then, principal component analysis (PCA) and linear discriminant analysis (LDA) were performed over the LBP features to obtain condensed features. Applying these features, each activity HMM was trained. Finally, HAR was performed with the trained HMMs. Our approach shows superior recognition performance over the traditional silhouette feature-based approaches. The system should be practical to be used for smart homes.
Deep learning has shown impressive capabilities in image inpainting. Although deep learning-based methods can produce semantically sound and visually realistic results, they often suffer from blurring and artifacts, p...
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With the increasing use of biometric technology in various applications of daily life, face spoofing detection technology plays a crucial role in securing them against fraudulent access. In this paper, a new face anti...
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Diabetic retinopathy (DR) is an eye disease involving retina that may develop as a complication of diabetes and can lead to significant vision impairment in its early stages and may later cause even the blindness. Dia...
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Digital images can be tempered or modified very easily with many tools available on the internet. Nowadays some software not only enhance and retouch but also copy-move objects of the image in such a way that is hard ...
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The primary goal of this project is to offer a tool for bank security. As a result, a large number of people who may or may not know us are using the personal workplace. The loss of assets and significant paperwork is...
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Analyzing facial micro-expressions based on computer vision has become an active research area in recent years. Subtle changes and short duration of micro-expressions bring great challenges to this issue, and extracti...
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Facial expressions are the most effective way to characterize people's motives, emotions, and feelings. Several new methods are proposed each year;however, the accuracy of facial expression recognition still needs...
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