The proceedings contain 86 papers. The topics discussed include: robust real-time monitoring of complex human activities using multi modal video analytics;a robust approach for classifying laparoscopic video distortio...
ISBN:
(纸本)9798331506520
The proceedings contain 86 papers. The topics discussed include: robust real-time monitoring of complex human activities using multi modal video analytics;a robust approach for classifying laparoscopic video distortions using ResNet-50;enhancing x-ray image classification through neural architecture;revolutionary MRI imaging for Alzheimer’s: cutting-edge GANs and vision transformer solutions;advanced deep learning strategies for breast cancer image analysis;identifying surgical instruments in pedagogical cataract surgery videos through an optimized aggregation network;enhancing auxiliary cancer classification task for multi-task breast ultrasound diagnosis network;and bioinspired computer vision for effective extended reality applications.
The proceedings contain 39 papers. The topics discussed include: a zero-reference nighttime road image enhancement method;SFPCDDFuse: an enhanced CDDFUSE infrared and visible image fusion model;recognition of side-sca...
ISBN:
(纸本)9781510688384
The proceedings contain 39 papers. The topics discussed include: a zero-reference nighttime road image enhancement method;SFPCDDFuse: an enhanced CDDFUSE infrared and visible image fusion model;recognition of side-scan sonar images under long-tail distribution;comparison of different masking strategies of MAE;real-time traffic sign recognition for driving: a hybrid approach integrating efficient Mamba models with dilated convolution;Mask R-CNN-based method for recognizing external breakage of transmission lines;light-aware luminance adaptive enhancement network for RGBT video object detection;and wireless multi-path VR audio and video file synchronous transmission technology based on two-way transmission.
More and more governments and authorities around the world are promoting the use of bicycles in cities, as this is healthy for the bicyclist and improves the quality of life in general. Safety and efficiency of bicycl...
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ISBN:
(纸本)9780819494290
More and more governments and authorities around the world are promoting the use of bicycles in cities, as this is healthy for the bicyclist and improves the quality of life in general. Safety and efficiency of bicyclists has become a major focus. To achieve this, there is a need for a smarter approach towards the control of signalized intersections. Various traditional detection technologies, such as video, microwave radar and electromagnetic loops, can be used to detect vehicles at signalized intersections, but none of these can consistently separate bikes from other traffic, day and night and in various weather conditions. As bikes should get a higher priority and also require longer green time to safely cross the signalized intersection, traffic managers are looking for alternative detection systems that can make the distinction between bicycles and other vehicles near the stop bar. In this paper, the drawbacks of a video-based approach are presented, next to the benefits of a thermal-video-based approach for vehicle presence detection with separation of bicycles. Also, the specific technical challenges are highlighted in developing a system that combines thermal image capturing, imageprocessing and output triggering to the traffic light controller in near real-time and in a single housing.
real-time optical imageprocessing has become a critical technology in domains such as autonomous systems, medical diagnostics, and surveillance. However, traditional centralized processing approaches face challenges ...
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The accuracy and real-time performance of existing traffic sign recognition methods in complex environments need to be improved. This study aims to propose an efficient traffic sign recognition solution based on machi...
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With the rise of the Internet of Things (IoT) and edge computing technologies, traditional cloud-dependent convolutional neural network (CNN) imageprocessing methods are facing the challenges of latency and bandwidth...
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Especially in static situations, image stitching has been routinely used to seamlessly merge many photographs into a panorama. Using it in dynamic and real-time environments, however, presents a number of difficulties...
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A prototype of a blind assisting system that utilizes machine learning for real-time object detection and classification to help visually impaired people to navigate independently without relying on external assistanc...
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The field of imageprocessing is playing a vital role in making technological changes those results in realtime applications. image scaling is one of such fundamental method that helps to resolve storage issue and al...
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—Although underwater robots can replace humans to explore the ocean which is rich in resources but fraught with unknown risks, there are phenomena such as monotonous colors, complex backgrounds and uneven illuminatio...
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