May 3, 2013 · In this paper, we propose a method for detecting a moving object rapidly and accurately in real time when changes in the background and lighting ...
In this work, we contribute to the real-time detection of buried objects, with special emphasis on explosive ones, using the ground penetrating radar (GPR).
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This paper proposes a fast object detection algorithm based on structural light analysis, which is used to detect and recognize human gesture and pose.
Nov 1, 2022 · In this study, we design and implement real-time object detection and recognition systems using the single-shoot detector (SSD) algorithm and deep learning ...
Object recognition technologies using PCA(principal component analysis) recognize objects by deciding representative features of objects in the model image, ...
Since each principal component corresponds to a certain amount of variance of the whole dataset, we use the cumulative percent variance (CPV) approach to verify ...
In this paper, we propose a robust object detection system. The System linearly transforms learning data obtained from the background images to Principal ...
This paper proposes real-time outdoor concealed-object detection and recognition with a radiometric imaging system.
This study presents a real-time framework for object detection and tracking for security surveillance systems.
Nov 1, 2022 · In this paper, the investigation model for an intrusion detection systems model based on the Principal Component Analysis feature selection technique and a ...