-
Article
A comprehensive approach for road marking detection and recognition
This paper presents a comprehensive approach for road marking detection and recognition which collect the image information from a camera mounted in the front of the vehicle. This approach uses PCA-HOG feature...
-
Chapter and Conference Paper
Boundary Extraction of Planar Segments from Clouds of Unorganised Points
Planar segment detection in 3D point clouds is of importance for 3D registration, segmentation or analysis. General methods for planarity detection just detect a planar segment and label the 3D points; a bound...
-
Chapter and Conference Paper
Early Diagnosis of Alzheimer’s Disease Based on Selective Kernel Network with Spatial Attention
Alzheimer’s disease (AD) is a neurodegenerative disorder which leads to memory and behaviour impairment. Early discovery and diagnosis can delay the progress of this disease. In this paper, we propose a new de...
-
Chapter and Conference Paper
A Real-Time Eye Tracking Method for Detecting Optokinetic Nystagmus
Optokinetic nystagmus (OKN) is an involuntary repeated “beating” of the eye, comprised of sequences of slow tracking (slow phase) and subsequent quick re-fixation events (quick phase) that occur in response t...
-
Chapter and Conference Paper
Image Scene Conversion Algorithm Based on Generative Adversarial Networks
This paper presents an image scene conversion algorithm based on generative adversarial networks (GANs). First, the generator uses the generator network with cross-layer connection structure to realize the sha...
-
Chapter and Conference Paper
A Sequential CNN Approach for Foreign Object Detection in Hyperspectral Images
This paper reports about potentials of hyperspectral imaging for object detection, especially on an application of foreign object detection (FOD) in meat products
-
Chapter and Conference Paper
A Comparison of Transfer Learning Techniques, Deep Convolutional Neural Network and Multilayer Neural Network Methods for the Diagnosis of Glaucomatous Optic Neuropathy
Early glaucoma diagnosis prevents permanent struc...
-
Chapter and Conference Paper
Improved Saliency-Enhanced Multi-cue Correlation-Filter-Based Visual Tracking
A discrete correlation-filter-based multi-cue-analysis framework is constructed by fusing different feature types to form potential candidate trackers that track the target independently. The selection of corresp...
-
Chapter and Conference Paper
A Fused Pattern Recognition Model to Detect Glaucoma Using Retinal Nerve Fiber Layer Thickness Measurements
It is estimated that approximately 1.3 billion people live with some form of vision impairment. Glaucomatous optic neuropathy is listed as the fourth major cause of vision impairment by the WHO. In 2015, an e...
-
Chapter and Conference Paper
Tracking of Load Handling Forklift Trucks and of Pedestrians in Warehouses
Trajectory computation for forklifts and pedestrians is of relevance for warehousing applications such as pedestrian safety and process optimization
-
Chapter and Conference Paper
Saliency Guided Data Association Measure for Multiple-Object Tracking
The association of correct object locations to its respective track over time is vital for robust tracking results when employing a detection-based tracking approach. It is important for handling object track ...
-
Chapter and Conference Paper
Measuring Apple Size Distribution from a Near Top–Down Image
The paper presents a method for estimating size information of a bin of apples; we document the machine learning and computer vision techniques applied or developed for solving this task. The system was requir...
-
Chapter and Conference Paper
Semantic Segmentation of Grey-Scale Traffic Scenes
In this paper we propose a novel architecture called KDNet that takes into account both spatial and temporal features for traffic scene labelling. One advantage of convolutional networks is the ability to yie...
-
Article
Coupled dictionary learning in wavelet domain for Single-Image Super-Resolution
In this paper a coupled dictionary learning mechanism with map** function is proposed in the wavelet domain for the task of Single-Image Super-Resolution. Sparsity is used as the invariant feature for achiev...
-
Chapter and Conference Paper
Accuracy of a Driver-Assistance System in a Collision Scenario
Object tracking for collision avoidance systems benefits from current progress in object detection by deep learning. For the purpose of collision avoidance, a hazard has to be tracked in several frames before ...
-
Chapter and Conference Paper
Blur Estimation for Natural Edge Appearance in Computational Photography
Applying a labelling approach in computational photography (i.e. using a discrete set of labels for, e.g., image segmentation or stereo matching) typically leads to step edges in the output label map. Photorea...
-
Chapter and Conference Paper
Lane Detection Based on Road Module and Extended Kalman Filter
Lane detection is already a basic component in modern vehicle control systems, with satisfying accuracy on labeled roads. There are still occasional problems of low accuracy and robustness in cases of challeng...
-
Chapter and Conference Paper
Deep Learning-Based Improved Object Recognition in Warehouses
Research migrates in recent years from model-based object detection and classification to data-driven approaches. With the efficiency improvement of computational resources, improved acquisition systems, and b...
-
Chapter and Conference Paper
Integrated Multi-scale Event Verification in an Augmented Foreground Motion Space
Moving event verification plays an important role in intelligent traffic supervision systems. We propose a novel event-verification framework using a deep convolutional neural network (CNN) in a proposed augme...
-
Chapter and Conference Paper
Detection of Adulteration in Red Meat Species Using Hyperspectral Imaging
This paper reports the performance of hyperspectral imaging for detecting the adulteration in red-meat species. Line-scanning images are acquired from muscles of lamb, beef, or pork. We consider the states of ...
