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26 Result(s)
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Sameer Singh
Computer Science
Image Processing and Computer Vision
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Article
Adoption of machine learning algorithm for predicting the length of stay of patients (construction workers) during COVID pandemic
The construction sector in a rapidly develo** country like India is a very unorganized sector. A large number of workers were affected and hospitalized during the pandemic. This situation is costing the sect...
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Chapter and Conference Paper
Unsupervised Learning for Improving Efficiency of Dense Three-Dimensional Scene Recovery in Corridor Map**
In this work, we perform three-dimensional scene recovery from image data capturing railway transportation corridors. Typical three-dimensional scene recovery methods initialise recovered feature positions by ...
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Book
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Book
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Chapter and Conference Paper
A Novel Approach to Spatio-Temporal Video Analysis and Retrieval
In this paper, we propose a novel Spatio-Temporal Analysis and Retrieval model to extract attributes for video category classification. First, the spatial relationships and temporal nature of the video object ...
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Article
Live cell imaging: a computational perspective
One of the primary challenges in understanding complex living systems requires a good understanding of the interactions between cellular and molecular functional units. Live cell imaging is the process of non-...
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Article
Neural network analysis of MINERVA scene image benchmark
Scene analysis is an important area of research with the aim of identifying objects and their relationships in natural scenes. MINERVA benchmark has been recently introduced in this area for testing different ...
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Chapter and Conference Paper
Modelling the Human Visual Process by Evolving Images from Noise
The modelling of human visual process is considerably important for develo** future autonomous agents such as mobile robots with vision capability. The future efforts will be directed at using this knowledge...
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Book and Conference Proceedings
Pattern Recognition and Image Analysis
Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part II
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Book and Conference Proceedings
Pattern Recognition and Data Mining
Third International Conference on Advances in Pattern Recognition, ICAPR 2005, Bath, UK, August 22-25, 2005, Proceedings, Part I
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Chapter and Conference Paper
Multiple Particle Tracking for Live Cell Imaging with Green Fluorescent Protein (GFP) Tagged Videos
Particle tracking is important for understanding the mobile behaviour of objects of varying sizes in a range of physical and biological science applications. In this paper we present a new algorithm for tracki...
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Chapter and Conference Paper
Parameter Optimization for Image Segmentation Algorithms: A Systematic Approach
Image segmentation is one of the most fundamental steps of image analysis. Almost all image segmentation algorithms have their parameters that need to be optimally set for a good segmentation. The problem of a...
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Chapter and Conference Paper
An Automated Video Annotation System
Manually labeling video data is not only a labor intensive and time-consuming task, but also subject to human errors. In this paper, we present an automatic video annotation system. The system uses spatial att...
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Chapter and Conference Paper
A Benchmark for Indoor/Outdoor Scene Classification
Image scene classification is an integral part of many aspects of image processing. Indoor and Outdoor classification is a fundamental part of scene processing as it is the starting point of many semantic scen...
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Chapter and Conference Paper
Spatial Feature Based Recognition of Human Dynamics in Video Sequences
The reliable identification of human activities in video, for example whether a person is walking, clap**, waving, etc. is extremely important for video interpretations. Since different people could perform ...
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Chapter and Conference Paper
Image Enhancement Optimization for Hand-Luggage Screening at Airports
Image enhancement is very important for increasing the sensitivity of screening luggage performance at airports. On the basis of 11 statistical measures of image viewability we propose a novel approach to opti...
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Chapter
Basic Principles of Image Generation for Ultrasound, X-Rays, Magnetic Resonance, Computed Tomography and Positron Emission Tomography
The usual aim in generating any kind of image in a body organ is to decide whether or not an abnormality is present and/or to follow the temporal variations of the abnormality during the course of a therapeuti...
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Chapter
A Note on Future Research in Segmentation Techniques Applied to Neurology, Cardiology, Mammography and Pathology
In previous chapters, we saw the application of segmentation in different areas of the body, such as the brain, heart, breast and cells. We covered many different kinds of models of CVGIP1 and PR2, but with the p...
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Chapter
Medical Image Segmentation in Digitial Mammography
Medical image segmentation is of primary importance in the development of Computer Assisted Detection (CAD) in mammographic systems. The identification of calcifications and masses requires highly sophisticate...
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Chapter
Advances in Computer Vision, Graphics, Image Processing and Pattern Recognition Techniques for MR Brain Cortical Segmentation and Reconstruction: A Review Toward functional MRI (fMRI)
The importance of 2-D and 3-D brain segmentation has increased tremendously due to the recent growth in functional MRI (fMRI), perfusion-weighted imaging, diffusion-weighted imaging, volume graphics, 3-D segme...
