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Chapter and Conference Paper
FrameNet: Tabular Image Preprocessing Based on UNet and Adaptive Correction
Detecting and recognizing objects in images with complex backgrounds and deformations is a challenging task. In this work, we propose FrameNet, while a deep table lines segmentation network based on our Res18U...
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Chapter and Conference Paper
Human Following for Mobile Robots
Human following is an essential function in many robotic systems. Most of the existing human following algorithms are based on human tracking algorithms. However, in practical scenarios, the human subject migh...
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Chapter and Conference Paper
Procrustes Analysis of Muscle Fascicle Shapes Based on DTI Fibre Tracking
Diffusion Tensor Imaging (DTI) is a technique developed from Magnetic Resonance Imaging (MRI), which uses a mathematical form diffusion tensor to measure the movement of water molecules in biological tissues in v...
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Chapter and Conference Paper
Compact and Fast Underwater Segmentation Network for Autonomous Underwater Vehicles
Reliable and real-time semantic segmentation is crucial for vision-based navigation tasks undertaken by AUVs (Autonomous Underwater Vehicles). However state-of-art deep learning segmentation networks could not...
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Chapter and Conference Paper
Holistic Prediction for Public Transport Crowd Flows: A Spatio Dynamic Graph Network Approach
This paper targets at predicting public transport in-out crowd flows of different regions together with transit flows between them in a city. The main challenge is the complex dynamic spatial correlation of cr...
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Chapter and Conference Paper
Time Period-Based Top-k Semantic Trajectory Pattern Query
The sequences of user check-ins form semantic trajectories that represent the movement of users through time, along with the types of POIs visited. Extracting patterns in semantic trajectories can be widely us...
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Chapter and Conference Paper
OSTER: An Orientation Sensitive Scene Text Recognizer with CenterLine Rectification
Scene texts in China are always arbitrarily arranged in two forms: horizontally and vertically. These two forms of texts exhibit distinctive features, making it difficult to recognize them simultaneously. Besi...
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Chapter and Conference Paper
Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction
Reorganizing bus frequency to cater for the actual travel demand can save the cost of the public transport system significantly. Many, if not all, existing studies formulate this as a bus frequency optimizatio...
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Chapter and Conference Paper
Uncertainty in Environmental Water Quality Modelling: Where Do We Stand?
The physical and biochemical processes that underpin the generation and transport of water quality constituents are extremely complex, as are the social and institutional processes that determine how human act...
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Chapter and Conference Paper
Efficient Algorithms for Solving Aggregate Keyword Routing Problems
With the emergence of smart phones and the popularity of GPS, the number of point of interest (POIs) is growing rapidly and spatial keyword search based on POIs has attracted significant attention. In this paper,...
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Chapter and Conference Paper
Dispersion of Single-Walled Carbon Nanotubes in Organic Solvents DMAC
The effective use of single walled carbon nanotubes (SWCNT) for improving mechanical properties of polymers is the key to the efficient diffusion of carbon nanotubes into organic solvents to form a stable sing...
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Chapter and Conference Paper
Research on the Monitoring Method of the Road Communication Network Quality Based on Vehicle Borne Internet of Things
This article proposes a monitoring method of the road communication network quality based on vehicle borne IoT (Internet of Things) by extracting and analyzing the MR (Measurement Report) data from the bus in ...
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Chapter and Conference Paper
3D Simulation of Navigation Problem of People with Cerebral Visual Impairment
Cerebral Visual Impairment (CVI) is a medical area that concerns the study of the effect of brain damages on the visual field (VF). People with CVI have difficulties in their mobility and they have behaviours ...
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Chapter and Conference Paper
Distributed k-Nearest Neighbor Queries in Metric Spaces
Metric k nearest neighbor (MkNN) queries have applications in many areas such as multimedia retrieval, computational biology, and location-based services. With the growing volumes of data, a distributed method is...
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Chapter
Groundwater Dependent Ecosystems: Classification, Identification Techniques and Threats
This chapter begins by briefly discussing the three major classes of groundwater dependent ecosystems (GDEs), namely: (I) GDEs that reside within groundwater (e.g. karsts; stygofauna); (II) GDEs requiring the ...
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Chapter
Methods for Exploring Uncertainty in Groundwater Management Predictions
Models of groundwater systems help to integrate knowledge about the natural and human system covering different spatial and temporal scales, often from multiple disciplines, in order to address a range of issu...
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Chapter and Conference Paper
Automatic Wrinkle Detection Using Hybrid Hessian Filter
Aging as a natural phenomenon affects different parts of the human body under the influence of various biological and environmental factors. The most pronounced changes that occur on the face is the appearance...
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Chapter and Conference Paper
Interactive Scene Text Detection on Mobile Devices
With the increasing resolution and availability of digital cameras, text detection in natural scene images receives a growing attention. When taking pictures using a mobile device, people generally only concer...
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Chapter and Conference Paper
Superpixel Based Retinal Area Detection in SLO Images
Distinguishing true retinal area from artefacts in SLO images is a challenging task, which is the first important step towards computer-aided disease diagnosis. In this paper, we have developed a new method ba...
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Chapter and Conference Paper
Exemplar-Based Human Action Recognition with Template Matching from a Stream of Motion Capture
Recent works on human action recognition have focused on representing and classifying articulated body motion. These methods require a detailed knowledge of the action composition both in the spatial and tempo...
