All Outputs (31)

Context-Based Object Recognition: Indoor Versus Outdoor Environments (2019)
Book Chapter

Object recognition is a challenging problem in high-level vision. Models that perform well for the outdoor domain, perform poorly in the indoor domain and the reverse is also true. This is due to the dramatic discrepancies of the global properties of... Read More about Context-Based Object Recognition: Indoor Versus Outdoor Environments.

Incoherent dictionary pair learning : application to a novel open-source database of chinese numbers (2018)
Journal Article
Abolghasemi, V., Chen, M., Alameer, A., Ferdowsi, S., Chambers, J., & Nazarpour, K. (2018). Incoherent dictionary pair learning : application to a novel open-source database of chinese numbers. IEEE Signal Processing Letters, 25(4), 472-476. https://doi.org/10.1109/LSP.2018.2798406

We enhance the efficacy of an existing dictionary pair learning algorithm by adding a dictionary incoherence penalty term. After presenting an alternating minimization solution, we apply the proposed incoherent dictionary pair learning (InDPL) method... Read More about Incoherent dictionary pair learning : application to a novel open-source database of chinese numbers.

Processing occlusions using elastic-net hierarchical MAX model of the visual cortex (2017)
Presentation / Conference Contribution

Humans can recognise objects under partial occlusion. Machine-based approaches cannot reliably recognise objects and scenes in the presence of occlusion. This paper investigates the use of the elastic net hierarchical MAX (En-HMAX) model to handle oc... Read More about Processing occlusions using elastic-net hierarchical MAX model of the visual cortex.

Deep learning-based artificial vision for grasp classification in myoelectric hands (2017)
Journal Article
Ghazaei, G., Alameer, A., Degenaar, P., Morgan, G., & Nazarpour, K. (2017). Deep learning-based artificial vision for grasp classification in myoelectric hands. Journal of Neural Engineering, 14(3), 036025. https://doi.org/10.1088/1741-2552/aa6802

Objective. Computer vision-based assistive technology solutions can revolutionise the quality of care for people with sensorimotor disorders. The goal of this work was to enable trans-radial amputees to use a simple, yet efficient, computer vision sy... Read More about Deep learning-based artificial vision for grasp classification in myoelectric hands.

Biologically-inspired object recognition system for recognizing natural scene categories (2016)
Presentation / Conference Contribution

Visual processing has attracted a lot of attention in the last decade. Hierarchical approaches for object recognition are gradually becoming widely-accepted. Generally, they are inspired by the ventral stream of human visual cortex, which is in charg... Read More about Biologically-inspired object recognition system for recognizing natural scene categories.

Object recognition with an elastic net-regularized hierarchical max model of the visual cortex (2016)
Journal Article
Alameer, A., Ghazaei, G., Degenaar, P., Chambers, J., & Nazarpour, K. (2016). Object recognition with an elastic net-regularized hierarchical max model of the visual cortex. IEEE Signal Processing Letters, 23(8), 1062-1066. https://doi.org/10.1109/LSP.2016.2582541

Classification of handwritten Chinese numbers with convolutional neural networks
Presentation / Conference Contribution

Deep learning methods have become the key ingredient in the field of computer vision; in particular, convolutional neural networks (CNNs). Appropriating the network architecture and data pre-processing have significant impact on performance. This pap... Read More about Classification of handwritten Chinese numbers with convolutional neural networks.

An elastic net-regularized HMAX model of visual processing
Presentation / Conference Contribution

The hierarchical MAX (HMAX) model of human visual system has been used in robotics and autonomous systems widely. However, there is still a stark gap between human and robotic vision in observing the environment and intelligently categorizing the obj... Read More about An elastic net-regularized HMAX model of visual processing.

An exploratory study on the use of convolutional neural networks for object grasp classification
Presentation / Conference Contribution

The loss of hand profoundly affects an individual's quality of life. Prosthetic hands can provide a route to functional rehabilitation by allowing the amputees to undertake their daily activities. However, the performance of current artificial hands... Read More about An exploratory study on the use of convolutional neural networks for object grasp classification.

Automatic recognition of feeding and foraging behaviour in pigs using deep learning
Journal Article

Highlights

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An automated detection method of pig feeding and foraging behaviour was developed.
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The automated method is based on convolutional deep neural networks.
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The automated method does not rely on pig tracking to e... Read More about Automatic recognition of feeding and foraging behaviour in pigs using deep learning.

Automated recognition of postures for the detection of compromised health pig
Book Chapter

Changes in pig behaviours may be used to detect early signs of problems, such as in animal health. Automated vision-based early warning systems have been developed to detect behavioural changes in groups of pigs to monitor their health and welfare st... Read More about Automated recognition of postures for the detection of compromised health pig.