Based on video frame differential optical flow field, a method of crucial area detection for surveillance video images of examination room is proposed in this paper. Firstly, the optical flow field was calculated with...
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Purpose:As to January 11,2021,coronavirus disease(COVID-19)has caused more than 2 million deaths *** diagnostic methods of COVID-19 are:(i)nucleic acid *** method requires high requirements on the sample testing *** c...
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Purpose:As to January 11,2021,coronavirus disease(COVID-19)has caused more than 2 million deaths *** diagnostic methods of COVID-19 are:(i)nucleic acid *** method requires high requirements on the sample testing *** collecting samples,staff are in a susceptible environment,which increases the risk of infection.(ii)chest computed *** cost of it is high and some radiation in the scan process.(iii)chest X-ray *** has the advantages of fast imaging,higher spatial recognition than chest computed ***,our team chose the chest X-ray images as the experimental dataset in this ***:We proposed a novel framework—BEVGG and three methods(BEVGGC-I,BEVGGC-II,and BEVGGC-III)to diagnose COVID-19 via chest X-ray ***,we used biogeography-based optimization to optimize the values of hyperparameters of the convolutional neural ***:The experimental results show that the OA of our proposed three methods are 97.65%±0.65%,94.49%±0.22%and 94.81%±0.52%.BEVGGC-I has the best performance of all ***:The OA of BEVGGC-I is 9.59%±1.04%higher than that of state-of-the-art methods.
A robust optical flow-based visual odometry method using a single onboard camera is proposed in this *** improve the quality of the noisy optical flows,a correction method across multiple frames is ***,the optical flo...
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ISBN:
(纸本)9781509009107
A robust optical flow-based visual odometry method using a single onboard camera is proposed in this *** improve the quality of the noisy optical flows,a correction method across multiple frames is ***,the optical flows in the plane at infinity are detected and removed as these optical flows have very low signal to noise ratio for robot translation ***,a RANSAC approach for robot ego-motion estimation is *** experiments are carried out and the results show that the proposed method is able to estimate the camera trajectory robustly with reasonable accuracy.
It is a significant challenges to deal with the noise data in data mining and knowledge discovery applications. Most of previous works on data cleansing and correction have been focused on addressing class noise or at...
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Image segmentation is a critical aspect of image processing, particularly for applications requiring precise object identification. This study introduces a novel multilevel thresholding technique for grayscale image s...
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Methods for detection of overlapping sound events in audio involve matrix factorization approaches, often assigning separated components to event classes. We present a method that bypasses the supervised construction ...
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In paper laser thermal oxidation of austenitic stainless steels AISI 201, 304L of different surface mill finishes, the hot and cold rolled was investigated by the Ytterbium-doped fibre laser (λ=1070 nm) with an outpu...
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Fighting shots are the highlights of action movies and an effective approach to discriminating fighting shots is very useful for many applications, such as movie trailer construction, movie content filtering, and movi...
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Fighting shots are the highlights of action movies and an effective approach to discriminating fighting shots is very useful for many applications, such as movie trailer construction, movie content filtering, and movie content retrieval. In this paper, we present a novel method for this task. Our approach first extracts the reliable motion information of local invariant features through a robust keypoint tracking computation; then foreground keypoints are distinguished from background keypoints by a sophisticated voting process; further, the parameters of the camera motion model is computed based on the motion information of background keypoints, and this model is then used as a reference to compute the actual motion of foreground keypoints; finally, the corresponding feature vectors are extracted to characterizing the motions of foreground keypoints, and a support vector machine （SVM） classifier is trained based on the extracted feature vectors to discriminate fighting shots. Experimental results on representative action movies show our approach is very effective.
This paper proposes a new object classification method based on an improved bacterial foraging optimisation algorithm. Firstly, a dynamic step size is used instead of the fixed step size of the chemotaxis. Secondly, t...
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