Image and Vision Computing
37th International Conference, IVCNZ 2022, Auckland, New Zealand, November 24–25, 2022, Revised Selected Papers
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64 Result(s)
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Article
Moving vehicle tracking and scene understanding: A hybrid approach
In this paper, we present a novel deep learning method for detecting and tracking vehicles within the context of autonomous driving, particularly focusing on scenarios related to vehicle failures. Ensuring the...
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Article
Open AccessFruit ripeness identification using YOLOv8 model
Deep learning-based visual object detection is a fundamental aspect of computer vision. These models not only locate and classify multiple objects within an image, but they also identify bounding boxes. The fo...
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Article
Open AccessPose estimation for swimmers in video surveillance
Traditional models for pose estimation in video surveillance are based on graph structures, in this paper, we propose a method that breaks the limitation of template matching within a range of pose changes to ...
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Article
Open AccessA privacy-preserving word embedding text classification model based on privacy boundary constructed by deep belief network
To effectively extract and classify the information from reports or documents and protect the privacy of the extracted results, we propose a privacy classification named Word Embedding Combination Privacy-pres...
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Article
Open AccessCISO: Co-iteration semi-supervised learning for visual object detection
Semi-supervised learning offers a solution to the high cost and limited availability of manually labeled samples in supervised learning. In semi-supervised visual object detection, the use of unlabeled data ca...
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Article
Open AccessNUNI-Waste: novel semi-supervised semantic segmentation waste classification with non-uniform data augmentation
Waste categorization and recycling are critical approaches for converting waste into valuable and functional materials, thereby significantly aiding in land preservation, reducing pollution, and optimizing res...
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Article
Open AccessApple ripeness identification from digital images using transformers
We describe a non-destructive test of apple ripeness using digital images of multiple types of apples. In this paper, fruit images are treated as data samples, artificial intelligence models are employed to im...
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Article
Open AccessSign language recognition from digital videos using feature pyramid network with detection transformer
Sign language recognition is one of the fundamental ways to assist deaf people to communicate with others. An accurate vision-based sign language recognition system using deep learning is a fundamental goal fo...
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Article
An ensemble framework of deep neural networks for colorectal polyp classification
Colorectal cancer (CRC) is caused by malignant polyps which must be resected and examined for accurate classification. Biopsy, the manual workflow of polyp classification is time-intensive task and requires an...
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Chapter and Conference Paper
A Real-Time Kiwifruit Detection Based on Improved YOLOv7
In New Zealand (NZ), agriculture is an essential industry, Kiwifruits contribute significantly to the country’s overall exports. Traditionally Kiwifruits require manually picking up and heavily relies on human...
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Chapter and Conference Paper
Vehicle-Related Distance Estimation Using Customized YOLOv7
With the popularity of autonomous driving, the development of ADAS (Advanced Driver Assistance Systems), especially collision avoidance systems, has become an important branch in the field of deep learning. In...
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Chapter and Conference Paper
Small Visual Object Detection in Smart Waste Classification Using Transformers with Deep Learning
Smart object waste classification is relatively essential for protecting the environment and saving resources. This is considered a vital pathway towards sustainability. In waste classification, we see that it...
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Book and Conference Proceedings
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Article
Open AccessA hybrid CTC+Attention model based on end-to-end framework for multilingual speech recognition
Speech recognition is an important field in natural language processing. In this paper, the end-to-end framework for speech recognition with multilingual datasets is proposed. The end-to-end methods do not req...
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Article
Open AccessColorizing Grayscale CT images of human lungs using deep learning methods
Image colorization refers to computer-aided rendering technology which transfers colors from a reference color image to grayscale images or video frames. Deep learning elevated notably in the field of image co...
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Article
Open AccessTraffic sign recognition based on deep learning
Intelligent Transportation System (ITS), including unmanned vehicles, has been gradually matured despite on road. How to eliminate the interference due to various environmental factors, carry out accurate and ...
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Article
Open AccessFlexible neural network for fast and accurate road scene perception
Accurate object detection on the road is the most important requirement of autonomous vehicles. Extensive work has been accomplished for car, pedestrian, and cyclist detection; however, comparatively, very few...
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Chapter and Conference Paper
Temporal Colour-Coded Facial-Expression Recognition Using Convolutional Neural Network
This research primarily aims to solve the problem of the high suicide rate in NZ; in this project, we plan to implement an AI-based recognition system for the long-term mental health issue for discovering pote...
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Article
Fast‐moving coin recognition using deep learning
Deep learning has made essential contributions to the development of visual object detection and recognition. Identifying fast-moving objects from the viewpoint of computer vision remains as a challenging prob...
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Article
Banknote serial number recognition using deep learning
In this paper, we recognize serial numbers on banknotes using deep learning. The samples used in this paper are digital images which have been preprocessed with data labelling and data augmentation, e.g., scal...
