A Gunshot Recognition Method Based on Multi-Scale Spectrum Shift Module
نویسندگان
چکیده
In view of the issues such as larger network model and lower recognition accuracy current gunshot networks, a neural based on multi-scale spectrum shift module is proposed in this paper to fully mine relevant information among spectrums. This employs architecture densely connected convolutional uses branch realize interaction information. replaces under-sampling operation spectrums, realizes globalized feature extraction spectrum, avoids loss during process, further improves quality map. Experiments were conducted NIJ Grant 2016-DN-BX-0183 dataset YouTube gunshots that have been open public, both whose classification reached 83.2% 95.1%, respectively, with size being controlled at around 16 MB. The experimental results indicate that, compared other existing methods for network, can time-frequency better effectively, has higher recognition.
منابع مشابه
ON THE MAXIMAL SPECTRUM OF A MODULE
Let $R$ be a commutative ring with identity. The purpose of this paper is to introduce and study two classes of modules over $R$, called $mbox{Max}$-injective and $mbox{Max}$-strongly top modules and explore some of their basic properties. Our concern is to extend some properties of $X$-injective and strongly top modules to these classes of modules and obtain some related results.
متن کاملPRIMARY ZARISKI TOPOLOGY ON THE PRIMARY SPECTRUM OF A MODULE
Let $R$ be a commutative ring with identity and let $M$ be an $R$-module. We define the primary spectrum of $M$, denoted by $mathcal{PS}(M)$, to be the set of all primary submodules $Q$ of $M$ such that $(operatorname{rad}Q:M)=sqrt{(Q:M)}$. In this paper, we topologize $mathcal{PS}(M)$ with a topology having the Zariski topology on the prime spectrum $operatorname{Spec}(M)$ as a sub...
متن کاملNumerical solution of nonlinear SPDEs using a multi-scale method
In this paper we establish a new numerical method for solving a class of stochastic partial differential equations (SPDEs) based on B-splines wavelets. The method combines implicit collocation with the multi-scale method. Using the multi-scale method, SPDEs can be solved on a given subdomain with more accuracy and lower computational cost than the rest of the domain. The stability and c...
متن کاملReal-Time Object Recognition Based on Cortical Multi-scale Keypoints
In recent years, a large number of impressive object categorisation algorithms have surfaced, both computational and biologically motivated. While results on standardised benchmarks are impressive, very few of the best-performing algorithms took run-time performance into account, rendering most of them useless for real-time active vision scenarios such as cognitive robots. In this paper, we com...
متن کاملAction Recognition Based on Multi-scale Oriented Neighborhood Features
The spatio-temporal (ST) position information between local features plays an important role in action recognition task. To use the information, neighborhood-based features are built for describing local ST information around ST interest points. However, traditional methods of constructing neighborhood, such as sub-ST volumetric method and nearest-neighbor-based neighborhood method, ignore the ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronics
سال: 2022
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics11233859