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- research-articleJune 2024
Deep learning and ubiquitous systems for disabled people detection using YOLO models
AbstractDifferently-disabled people having the disorders like paralysis, limb deficiency Amelia, or amputee. Various work was done on detecting and tracking the differently-abled people for the perception of people and their mobility aids. Different ...
Highlights- A model for detecting and tracking of the differently-abled people is presented disrupting machine learning models.
- Yolov3 and Yolov5 deep learning model for the detection and tracking of the differently-abled people is proposed.
- ...
- ArticleOctober 2023
Leveraging Ellipsoid Bounding Shapes and Fast R-CNN for Enlarged Perivascular Spaces Detection and Segmentation
- Mariam Zabihi,
- Chayanin Tangwiriyasakul,
- Silvia Ingala,
- Luigi Lorenzini,
- Robin Camarasa,
- Frederik Barkhof,
- Marleen de Bruijne,
- M. Jorge Cardoso,
- Carole H. Sudre
AbstractEnlarged perivascular spaces (EPVS) are small fluid-filled spaces surrounding blood vessels in the brain. They have been found to be important in the development and progression of cerebrovascular disease, including stroke, dementia, and cerebral ...
- research-articleDecember 2022
Object detection and recognition using contour based edge detection and fast R-CNN
Multimedia Tools and Applications (MTAA), Volume 81, Issue 29Pages 42183–42207https://doi.org/10.1007/s11042-021-11446-2AbstractObject detection is a technique of computer vision whose primary intent is to detect objects. The objects can be detected from any image or video feeds. Now a day’s object detection is extensively applied in video surveillance systems, human ...
- research-articleSeptember 2022
A system for quantifying facial symmetry from 3D contour maps based on transfer learning and fast R-CNN
The Journal of Supercomputing (JSCO), Volume 78, Issue 14Pages 15953–15973https://doi.org/10.1007/s11227-022-04502-7AbstractPhysicians spend much time observing the facial symmetry of patients and collecting various data to arrive at an accurate clinical judgment. This study presents a transfer learning method for evaluating the degree of facial symmetry. The contour ...
- research-articleMay 2022
Survey of Supervised Learning for Medical Image Processing
AbstractMedical image interpretation is an essential task for the correct diagnosis of many diseases. Pathologists, radiologists, physicians, and researchers rely heavily on medical images to perform diagnoses and develop new treatments. However, manual ...
- research-articleMay 2022
Automatic vehicle detection system in different environment conditions using fast R-CNN
Multimedia Tools and Applications (MTAA), Volume 81, Issue 13Pages 18715–18735https://doi.org/10.1007/s11042-022-12347-8AbstractVehicle detection and classification is a challenging move in the field of traffic management and surveillance. With the rapid increase in the number of vehicles on roads, streets, and highways, the Intelligent Transport System (ITS) requirement ...
- research-articleMarch 2021
Intelligent monitor for typhoon in IoT system of smart city
The Journal of Supercomputing (JSCO), Volume 77, Issue 3Pages 3024–3043https://doi.org/10.1007/s11227-020-03381-0AbstractAccidents often occur in the earth—typhoons, floods, earthquakes, traffic accidents and so on. Whether these accidents can be timely and effectively responded to has been an important indicator to judge whether a region is advanced or not. IoT ...
- research-articleMarch 2021
Radio Galaxy Morphology Classification with Mask R-CNN
ICVISP 2020: Proceedings of the 2020 4th International Conference on Vision, Image and Signal ProcessingArticle No.: 36, Pages 1–5https://doi.org/10.1145/3448823.3448881Due to the sheer scale of data generated from newer radio galaxy surveys, automating the classification of radio galaxy morphologies has become an active area of study in recent years. One promising solution is CLARAN: A proof-of-concept radio source ...
- ArticleSeptember 2020
Faster R-CNN Based Fault Detection in Industrial Images
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence PracticesPages 280–287https://doi.org/10.1007/978-3-030-55789-8_25AbstractIndustry 4.0 requires smart environment to find defects or faults in their products. A defective product in the market can impact negatively on the overall image of the industry. Thus, there is continuous struggle for industrial environment to ...
- research-articleDecember 2019
Saliency detection using Multi-layer graph ranking and combined neural networks
Journal of Visual Communication and Image Representation (JVCIR), Volume 65, Issue Chttps://doi.org/10.1016/j.jvcir.2019.102673Highlights- A combined net is proposed to improve salient object detection.
- An function is ...
In this paper, a new algorithm based on a combined neural network is proposed to improve salient object detection in the complex images. It consists of two main steps. The first step, an objective function which is optimized on a multi-...
- research-articleOctober 2019
Image classification towards transmission line fault detection via learning deep quality-aware fine-grained categorization
Journal of Visual Communication and Image Representation (JVCIR), Volume 64, Issue Chttps://doi.org/10.1016/j.jvcir.2019.102647AbstractObject detection and image classification are basic tasks in computer vision. In this paper, we introduce fault detection towards transmission line. Traditional fault detection methods in the transmission line are prone to be affected ...
- short-paperSeptember 2019
Toward emotional recognition during HCI using marker-based automated video tracking
- Ulrik Soderstrom,
- Songyu Li,
- Harry L. Claxton,
- Daisy C. Holmes,
- Thomas T. Ranji,
- Carlos P. Santos,
- Carina E.I. Westling,
- Harry J. Witchel
ECCE '19: Proceedings of the 31st European Conference on Cognitive ErgonomicsPages 49–52https://doi.org/10.1145/3335082.3335103Postural movement of a seated person, as determined by lateral aspect video analysis, can be used to estimate learning-relevant emotions. In this article the motion of a person interacting with a computer is automatically extracted from a video by ...
- ArticleAugust 2019
Marine Vertebrate Predator Detection and Recognition in Underwater Videos by Region Convolutional Neural Network
Knowledge Management and Acquisition for Intelligent SystemsPages 66–80https://doi.org/10.1007/978-3-030-30639-7_7AbstractIn this paper, we present R-CNN, Fast R-CNN and Faster R-CNN methods to automatically detect and recognise the predators in underwater videos. We compare the results of these methods on real data and discuss their strengths and weaknesses. We ...
- research-articleJuly 2019
Object detection algorithm based AdaBoost residual correction Fast R-CNN on network
ICDLT '19: Proceedings of the 2019 3rd International Conference on Deep Learning TechnologiesPages 42–46https://doi.org/10.1145/3342999.3343013The rapid development of computer hardware has promoted the prosperity of computer vision. Target object detection is widely used in various industrial and commercial fields, and contour detection is the core of target object detection. In order to ...
- research-articleJanuary 2019
Parasite worm egg automatic detection in microscopy stool image based on Faster R-CNN
ICMLSC '19: Proceedings of the 3rd International Conference on Machine Learning and Soft ComputingPages 197–202https://doi.org/10.1145/3310986.3311014This paper proposed a method based on Faster R-CNN for detection of human parasite eggs in stool images. The shapes, and patterns of parasite worm in egg micro images are very diversity, therefore proposing and choosing the good model to detect them is ...
- research-articleOctober 2018
A new architecture based on convolutional neural networks (CNN) for assisting the driver in fog environment
SCA '18: Proceedings of the 3rd International Conference on Smart City ApplicationsArticle No.: 85, Pages 1–5https://doi.org/10.1145/3286606.3286862Driver Assistance Systems (ADAS) are designed to assist the driver and improve road safety. For this, various sensors are generally embedded in vehicles to alert the driver in case of danger present on the road. Unfortunately, the performance of such ...