Results 31 to 40 of about 559,979 (314)
Road extraction in remote sensing data: A survey
Automated extraction of roads from remotely sensed data come forth various usages ranging from digital twins for smart cities, intelligent transportation, urban planning, autonomous driving, to emergency management. Many studies have focused on promoting
Ziyi Chen +9 more
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Direction Estimation for Pedestrian Monitoring System in Smart Cities: An HMM Based Approach
The paper proposes a novel approach for direction estimation of a moving pedestrian as perceived in a 2-D coordinate of field camera. The proposed direction estimation method is intended for pedestrian monitoring in traffic control systems.
Rahul Raman +3 more
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Combining Morphological and Histogram based Text Line Segmentation in the OCR Context [PDF]
Text line segmentation is one of the pre-stages of modern optical character recognition systems. The algorithmic approach proposed by this paper has been designed for this exact purpose.
Pit Schneider
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The recent increasing demand of Silicon-on-Chip devices has triggered a significant impact on the industrial processes of leading semiconductor companies.
Riccardo Emanuele Sarpietro +7 more
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Depth‐based end‐to‐end deep network for human action recognition
Recognition of human actions from videos can be improved if depth information is available. Depth information certainly helps in segregating foreground motion from the background.
Sachin Chaudhary, Subrahmanyam Murala
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The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique [PDF]
The arrival of handwriting recognition technologies offers new possibilities for research in heritage studies. However, it is now necessary to reflect on the experiences and the practices developed by research teams.
Beatrice Couture +3 more
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Gaussian guided frame sequence encoder network for action quality assessment
Can a computer evaluate an athlete’s performance automatically? Many action quality assessment (AQA) methods have been proposed in recent years. Limited by the randomness of video sampling and the simple strategy of model training, the performance of the
Ming-Zhe Li +4 more
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To reconstruct images with high spatial resolution and high spectral resolution, one of the most common methods is to fuse a low-resolution hyperspectral image (HSI) with a high-resolution (HR) multispectral image (MSI) of the same scene.
Shuaiqi Liu +5 more
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UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal
Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving.
Subhrajyoti Dasgupta +6 more
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