Real time processing in the context of imageprocessing for topics like motion detection and suspicious object detection requires processing the background more times. In this field, background subtraction solutions c...
详细信息
ISBN:
(纸本)9781665462198
Real time processing in the context of imageprocessing for topics like motion detection and suspicious object detection requires processing the background more times. In this field, background subtraction solutions can overcome the limitations caused by real time issues. Different methods of background subtraction have been investigated for this goal. Although more background subtraction methods provide the required efficiency, they do not make produce a real-time solution in a camera surveillance environment. In this paper, we propose a model for background subtraction using four different traditional algorithms;viBe, Mixture of Gaussian v2 (MOG2), Two Points, and Pixel Based Adaptive Segmenter (PBAS). The presented model is a lightweight real time architecture for surveillance cameras. In this model, the dynamic programming logic is used during preprocessing of the frames. The CDnet 2014 data set is used to assess the model's accuracy, and the findings show that it is more accurate than the traditional methods whose combinations are suggested in the paper in terms of Frames per second (fps), F1 score, and Intersection over union (IoU) values by 61.31, 0.552, and 0.430 correspondingly.
作者：
Massar, H.Miyara, M.Nsiri, B.Belhoussine Drissi, T.
Faculty of Science Ain Chock University Hassan II—Casablanca Casablanca Morocco
Faculty of Science Ain Chock University Hassan II—Casablanca Casablanca Morocco
Mohammed V University in Rabat Rabat Morocco
Blind source separation (BSS) is a widely adopted approach for processing biomedical signals, particularly electroencephalography (EEG) signals, which indicate the electrical activities of the brain. Currently, EEG da...
详细信息
images are a common source of data transfer in numerous domains. They can be a source for transferring confidential information across various mediums. As this practice has been adopted on a large scale, securing the ...
详细信息
This paper proposed an improved method that can be used in the identification of images within IoT based surveillance systems through the use of deep learning techniques especially the CNNs. The growth of concern and ...
详细信息
This paper presents an experimental analysis of the efficiency of modern object detection methods, such as Faster R-CNN, SSD, and RetinaNet. The architectural features of each approach, as well as their operating prin...
详细信息
ISBN:
(数字)9781665465687
ISBN:
(纸本)9781665465694
This paper presents an experimental analysis of the efficiency of modern object detection methods, such as Faster R-CNN, SSD, and RetinaNet. The architectural features of each approach, as well as their operating principles and applicability in various fields, including medicine, video surveillance, and autonomous driving, are considered. A comparison is made using the main quality metrics (Precision, Recall, Inference Time), and their strengths and weaknesses when working with objects of different scales are analyzed. The COCO dataset was used for evaluation. Reasonable conclusions are made about the feasibility of using these algorithms depending on the requirements for the accuracy and speed of imageprocessing.
The 'Smart Exercise Counter using Computer vision' is a groundbreaking system that blends cutting-edge computer vision technology with exercise monitoring. In an age where fitness and health are paramount, thi...
详细信息
There is an increasing demand for accurate daylight diagnostics of larger photovoltaic (Pv) plants with Electroluminescence (EL) imaging. Modulated contact-EL can remedy solar noise, but mobile platforms are required ...
ISBN:
(纸本)9781665460590
There is an increasing demand for accurate daylight diagnostics of larger photovoltaic (Pv) plants with Electroluminescence (EL) imaging. Modulated contact-EL can remedy solar noise, but mobile platforms are required to increase inspection speed. However, any motion induces noise, even with perfect tracking of the Pv modules in the images. This paper investigates the impact of motion and camera calibration on the quality of daylight contact-EL imaging since both introduce noise. Using the SNR50 and SNRKari' metrics and visual inspection, a total of 58 stationary and moving EL imaging series, 23 calibrated and 35 uncalibrated, were analyzed and investigated both with and without module tracking. SNR50 proved an unreliable predictor of image quality, but SNRKari ' also revealed uncertainties when faced with camera motion. Motion severity was a superior metric due to an enhanced ability to predict non-tracked image quality, but more stable metrics must be developed. Without stabilization, image quality deteriorated rapidly at motion above 0.18 and 0.06 pixel/image with and without camera calibration, respectively. With stabilization, calibrated image series stayed at a quality level suitable for manual diagnostics, even at extreme motion. Still, the uncalibrated series did not;showing calibration vital for moving imaging inspection platforms. For reliable diagnostics and automated processing, better algorithms are needed.
The Pradhan Mantri Fasal Bima Yojana (PMFBY) stands as a crucial initiative for farmers' protection, yet grapples with challenges like delayed claims, inaccurate loss assessments, and uneven aid distribution [1]. ...
详细信息
Even with differences in handwriting styles and quality, handwritten text can be recognized and converted using platforms offered by handwritten text recognition and conversion systems. For offline handwritten word re...
详细信息
Efficient human presence detection within specified Regions of Interest (ROIs) is essential to many real-world applications, including as resource allocation, security surveillance, and crowd monitoring. In this paper...
详细信息
暂无评论