Analysing visual biases in coral imagery for bleaching detection

Global warming causes coral bleaching which threatens the health and existence of coral reefs and therefore also the future of a lot of species, including human beings. Efforts to automate coral reef monitoring using annotated coral images to detect coral bleaching are hindered by the lack of a complete dataset that specifies the health and...

On the decomposition of visual sets using Transformers

Transformers can generate predictions auto-regressively by conditioning each sequence element on the previous ones, or can produce output sequences in parallel. While research has mostly explored upon this difference on tasks that are sequential in nature, we study this contrast on visual set prediction tasks, to analyze the core behaviour of...

T-TRAIL: Preventing Decreased Rank Attacks in RPL-based IoT Networks

The Routing Protocol for Low-Power and Lossy Networks (RPL) has gained in popularity since the increased connectivity of everyday items to the Internet. One of the discovered attacks on RPL is the rank attack, which opens up possibilities for attackers to control traffic in the RPL network by spoofing their priority. Many solutions have been...

Detection and mitigation technique against collusion attack in RPL-Based IoT networks

The Internet of Things (IoT) is a technology used in applications varying from home- and industrial automation to medical devices, smart vehicles, fitness trackers and many more. Such IoT networks often consist of incredibly resource-constrained devices, and are known as Low-power and Lossy Networks (LLNs). The Routing Protocol for LLNs (RPL)...

RPL Attack Analysis: Evaluation of a Cryptography-Based Sybil Defence in IEEE 802.15.4

While the Routing Protocol for Low Power and Lossy Networks (RPL) is built to support the constraints of low-powered devices, it struggles to meet the standards in security. Generally, low-powered devices are challenged with limited cryptography, tough key management, and interoperability issues. Despite these concerns, security is not only...

STIR: Preventing Routing Table Overload Attacks in RPL-based IoT Networks

Routing Protocol for Low Power and Lossy Networks (RPL) is a routing protocol for Internet of Things (IoT) devices with limited resources. As IoT is becoming prevalent, it is important to secure the underlying protocols that compose it such as RPL. This paper sought to avoid an RPL-specific routing attack by modifying the protocol's...

The performance of the routing protocol for low-power and lossy networks in mobile networks

The IPv6 routing protocol for low-power and lossy networks (RPL) is a routing protocol that is standardized for constrained devices. This standard only considers static nodes and consequently underperforms in networks with moving nodes. Several studies exist intending to mend this problem, but analyses of RPL's performance in mobile situations...

Combining frequency information and the unsupervisedW-Net model for wheat head detection

Wheat is a widely used ingredient for food products. To increase the productionand quality of wheat, the density of ’wheat heads’ in a farm can be studied. Accuratelylocating wheat heads in images can be challenging. A lot of work has taken place insupervised semantic segmentation, but these networks typically require large pixel-wisehuman...

Improving the Performance of Object Counting Using Training Images in the Frequency Domain

Convolutional Neural Networks (CNNs) have made significant strides in the field of image processing over the last decade. Different approaches have been taken and improvements have been suggested. This paper looks at a newer novelty to neural networks for image counting, which is based on single-pixel center localization instead of the...

Using object-specific frequency information from labeled data to improve a CNN’s robustness to adversarial attacks

Convolutional Neural Networks are particularly vulnerable to attacks that manipulate their data, which are usually called adversarial attacks. In this paper, a method of filtering images using the Fast Fourier Transform is explored, along with its potential to be used as a defense mechanism to such attacks. The main contribution that differs...

What Humans Consider Good Object Detection: Analysis on how automatic object detectors align with what humans consider good object detection

How do automatic object detector outputs align with what humans consider good object detection? Our study is based on the responses of 70 participants for a survey. The participants are presented with images having bound- ing box predictions, their task is to choose images which according to them have an acceptable or a good detection. The...

Sail Shape Visualization

While sailing, sailors solely rely on their eyes to inspect the sail shape and adjust the sail configurations to achieve an appropriate sail shape that corresponds to the weather condition. This so-called trimming process requires years of experience. Hence the visual inspection of sail shape suffers from inaccuracy and communication...

Vertex-voting-based polygonal object detection

Although the pixel-wise labelling approaches have been exploited in depth and achieve good results in segmentation tasks, the grouped pixels are not ideal output for many end-users. In this paper, we propose a vertex-voting-based approach that can directly extract the polygon representations of objects. In order to better solve overlapping...

Heuristics2Annotate: Efficient Annotation of Large-Scale Marathon Dataset For Bounding Box Regression

Annotating a large-scale in-the-wild person re-identification dataset especially of marathon runners is a challenging task. The variations in the scenarios such as camera viewpoints, resolution, occlusion, and illumination make the problem non-trivial. Manually annotating bounding boxes in such large-scale datasets is cost-inefficient....

Running Gait Recognition Using Arm and Leg Swing for Video Person Re-Identification

Person re-identification based on appearance is challenging due to varying views and lighting conditions in different cameras, or when multiple persons wear similar clothing styles and color. Considering these challenges, gait patterns provide an alternative to appearance, as gait can be captured from a distance and at a low resolution. In this...

Acceleration Magnification for Visualising Blood Flow Pulsation in the Skin

While millions of people world wide suffer from arterial diseases, such as peripheral arterial disease, there are a limited number of methods that can be used to diagnose and track these diseases which are also easy, quick and non-invasive. <br/><br/>This work focuses on what is needed to improve diagnosing and tracking of peripheral arterial...