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Vehicle object detection based on rgb-camera and radar sensor fusion

Vehicle object detection based on rgb-camera and radar senso...

引用

2019 International Joint Conference on Information, Media, and Engineering, IJCIME 2019

作者： Li, ZhongTong Yan, Ming Jiang, Wei Xu, Pin School of Information and Communication Engineering Communication University of China Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

ISBN: (纸本)9781728155869

Object detection has always played a major role in the field of computer vision. With the development of faster region-based convolutional neural network (faster-RCNN), single shot multi-box detector (SSD), You Only Look Once (Yolo) and other deep learning networks, 2D object detection has been developed well developed. However, in some key areas, such as driverless vehicles and artificial intelligence robots, cannot meet the requirements of tasks just by detecting two dimensional (2D) objects. So we need to get the three dimensional (3D) position of the object. In 3D object detection, it is difficult to obtain object position information only by red-green-blue (RGB) image. There are some methods to get the 3D position of the target through the point cloud data set. Therefore, this paper proposes a deep learning network, which can combine both color image information and point cloud geometry information, while using MobileNet V3 as the backbone network greatly enhances the operation speed. The region proposal networks (RPN) layer in faster-RCNN is migrated to the network. After testing, the method proposed by us improves obviously in speed and recognition accuracy compared with the previous methods. © 2019 IEEE.

关键词： Object detection

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A Prediction Method for Dimensional Sentiment Analysis of the Movie and TV Drama based on Variable-length Sequence Input

A Prediction Method for Dimensional Sentiment Analysis of th...

引用

2022 International Conference on Culture-Oriented Science and technology, CoST 2022

作者： Wang, Chunxiao Zhang, Jingiing Gan, Lihong Jiang, Wei Key Laboratory of Acoustic Visual Technology and Intelligent Control System Communication University of China Beijing China Zhejiang Dafeng sports equipment Co.Ltd Zhejiang China

ISBN: (数字)9781665462488

ISBN: (纸本)9781665462488

Time continuous emotion prediction problem has always been one of the difficulties in affective video content analysis. The current research mainly designs a temporally continuous long video emotion prediction method by dividing the long video into short video segments of fixed duration. These methods ignore the time dependencies between short video clips and the mood changes in short video clips. Therefore, combined with the related concepts of film and television narrative structure in cinematic language, this paper defines a prediction method for dimensional sentiment analysis of the movie and TV drama based on variable sequence length inputs. First, this paper defines a method for partitioning variable-length audiovisual sequences that set subunits of dimensional emotion prediction as variable sequence-length inputs. Then, a method for extracting and combining audio and visual features of each variable-length audiovisual sequence is proposed. Finally, a prediction network for dimensional emotion is designed based on variable sequence length inputs. This paper focuses on dimensional sentiment prediction and evaluates the proposed method on the extended COGNIMUSE dataset. The method achieves comparable performance to other methods while increasing the prediction speed, with the Mean Square Error (MSE) reduced from 0.13 to 0.11 for arousal and from 0.19 to 0.13 for valence. © 2022 IEEE.

关键词： Sentiment analysis

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Fault Prediction Method of Stage Lifts Based on Digital Twin

Fault Prediction Method of Stage Lifts Based on Digital Twin

引用

2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Wang, Huiqin Zhang, Chunxi Li, Zhen Xiao, Mengjiao Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China Communication University of China School of Information and Communication Engineering Beijing China

ISBN: (纸本)9798350380347

To improve the safety of stage lifts' operation and reduce the failure rate, a digital-twin assisted fault prediction method is proposed here. Signals such as vibration and temperature are collected from the virtual and physical models. A fault prediction model based on Graph Convolutional Networks (GCN) is constructed to identify the potential faults of stage lift. The experiment results illustrate the effectiveness of the proposed model. It would enhance the safety and stability of stage equipment, and provide reliable support for stage performances. © 2024 IEEE.

关键词： Prediction models

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Simulation of stage dry ice effect based on UE4 6

Simulation of stage dry ice effect based on UE4

引用

6th International Symposium on Computer and Information Processing technology, ISCIPT 2021

作者： Li, Yiyang Li, Jiawen Lv, Chaohui University of China School of Information and Communication Engineering Communication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China

ISBN: (纸本)9781665441377

In view of the problem that the dry ice effect simulation on the stage simulation is less, a dry ice effect simulation system including the realistic rendering module of dry ice effect and the interaction module between actors and the dry ice is proposed. For visual effect of dry ice, this paper uses a method to simulate volume fog in real time by adding visual optimization of multiple noise mixtures. Firstly, in order to solve the problem that the modeling effect of single noise fog is not natural, the Perlin noise and Worley noise are used to model the fog together to enhance the detail and flip effect of fog. Secondly, using the offset shadow algorithm to simulate the self-shadow effect, combining pixel jitter and Temporal oversampling, the soft effect of fog is increased, and the distance field shadow is added to reflect the occlusion. For dry ice interaction module, this paper uses symbol distance field to detect the collision between dry ice and actors to realize the dynamic interaction between actors and dry ice. The results show that this method can simulate the dry ice effect of stage and has the function of real-time interaction. © 2021 IEEE.

关键词： Ice

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Research on Named Entity Recognition for Oral History Text

Research on Named Entity Recognition for Oral History Text

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2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Hu, Chaoyu Bai, Shilei Zhang, Mengfei Communication University of China School of Information and Communication Engineering Beijing China Beijing Key Laboratory of Modern Entertainment Technology Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture Beijing China

ISBN: (纸本)9798350380347

Oral history involves conveying experienced events through spoken narratives, typically preserved and later studied by converting spoken language into text. Named entity recognition (NER) is the recognition of meaningful named entities in text, such as person names, locations, organizations, etc. Conducting NER research on oral history text is significant as it not only facilitates the verification of named entities by researchers but also allows for the extraction of key information from texts through named entities. By collecting oral history corpus, we establish an oral history text dataset, manually annotating all texts with six entity labels and repeatedly verifying them manually. Utilizing the concept of machine reading comprehension (MRC), a semantic fusion module was added, integrating label information into text information using a cross-attention mechanism, and decoding the corresponding entity labels through span decoding. The final model performs well on the oral history text dataset and also showed good performance on general Chinese datasets. © 2024 IEEE.

关键词： Decoding

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Attribute Analysis and Modeling Research on Color Harmony of Three-Color Combination

Attribute Analysis and Modeling Research on Color Harmony of...

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2023 International Conference on Culture-Oriented Science and technology, CoST 2023

作者： Pu, Jiapeng Wang, Shuang Ren, Hui Communication University of China State Key Laboratory of Media Convergence and Communication China Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System China Communication University of China Beijing Key Laboratory of Modern Entertainment Technology Beijing China

ISBN: (纸本)9798350357998

Color harmony is the result of objective color matching and human subjective feeling. This paper aims to study the subjective and objective factors of color harmony and carry out mathematical models between them. Firstly, we constructed a color data set commonly used three-color combinations. Secondly, we analyzed the subjective and objective factors affecting color harmony, extracted the 36-dimensional objective physical features, and divided subjective factors into direct psychological factors and indirect psychological factors. Then, based on color harmony and its subjective factors, a total of 33 subjects evaluated 150 three-color combinations on a five-level scale. Finally, the mathematical models of color harmony were constructed by machine learning algorithms. The research shows that color harmony is not only affected by objective factors, but also by subjective factors, and the influence of subjective factors is greater. In addition, the multiple linear regression algorithm plays best on color harmony predicting, which can better explain the color harmony mechanism. © 2023 IEEE.

关键词： Color matching

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Broadband Constant Directivity control of Line Array Loudspeakers

Broadband Constant Directivity Control of Line Array Loudspe...

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2022 International Conference on Culture-Oriented Science and technology, CoST 2022

作者： Li, Zhen Chen, Yuqing Ren, Hui Li, Kaiyue State Key Laboratory of Media Convergence of Commmunication Beijing China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture and Tourism Beijing China Beijing China Communication University of China Beijing China

ISBN: (数字)9781665462488

ISBN: (纸本)9781665462488

In fact, the constant directivity characteristic of line array loudspeaker cannot cover all frequency. In order to expand the entire working frequency band of the constant directivity of the line array loudspeaker as much as possible, that is, to obtain a lower cut-off frequency and reduce the high frequency aliasing phenomenon, this paper proposes a frequency division shading algorithm based on the acoustic waveguide linear delay constant beamwidth transducer(CBT) array. After simulation in matlab, the sound field of traditional shading algorithm and frequency division shading algorithm is compared, it is effectively verified that the algorithm has a wider working frequency band than the traditional shading algorithm. In particular, the frequency division shading algorithm effectively reduces high-frequency aliasing phenomenon, which is difficult to overcome in traditional shading algorithms. © 2022 IEEE.

关键词： Loudspeakers

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Obstacle Avoidance Algorithm of Handling Robot in Cultural Complex

Obstacle Avoidance Algorithm of Handling Robot in Cultural C...

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2022 International Conference on Culture-Oriented Science and technology, CoST 2022

作者： Ren, Hui Li, Mengnan Shen, Xiaochen School of Information and Commmunication Engineering Communication University of China Beijing100024 China Key Laboratory of Acoustic Visual Technology and Intelligent Control System Beijing100024 China Beijing100024 China

ISBN: (数字)9781665462488

ISBN: (纸本)9781665462488

In order to solve the problem of rapid switching of space equipment in the cultural complex, this paper combines Moth-Flame optimization Algorithm (MFO) and Dynamic Window Approach (DWA) to realize the hybrid path planning of handling robots in dynamic environments. Compared with the mainstream algorithms, the Moth-Flame optimization algorithm has the best performance. Different paths were classified and judged, and the global path planning based on MFO was proposed. The intersection of the dynamic obstacle and the global path were detected, and the dynamic window approach was used for local path planning in the road section where the collision occurs. Finally the combination of the global path planning and the local dynamic obstacle avoidance was realized. The effect of the hybrid path planning algorithm in the complex environment of the cultural complex had been verified. © 2022 IEEE.

关键词： Optimization

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Research on Audio-visual Emotion Fusion based on Superposition Response

Research on Audio-visual Emotion Fusion based on Superpositi...

引用

2016 2nd Workshop on Advanced Research and technology in Industry Applications(WARTIA 2016)

作者： Hua Zhang Wei Jiang Key Laboratory of Acoustic Visual Technology and Intelligent Control System Ministry of Culture

The research tries to study humans' responses to superimposed costimulatory *** information,including music,natural images,may be perceived through sound and visual *** procedure is interested in the superposition state of superimposed vibrations,whereby two or more signals are perceived simultaneously,producing a perceptual impression that is considerably different than of each signal alone,owing to the interactions between perceived stimulus vibrations that induce a coordinated percept of a vibrational *** show that these temporal attributes and statistics are strongly *** the same time,we reveal that this kind of superposition response is closely related to human's psychological mechanism.

关键词： Audio-visual Superposition Response Emotion Fusion

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Architectural Color Image Scale Computing of Beijing Forbidden City

Architectural Color Image Scale Computing of Beijing Forbidd...

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2024 International Conference on Culture-Oriented Science and technology, CoST 2024

作者： Liu, Bowen Huang, Wenli Yu, Xiumeng Ma, Zongliu Guo, Ziyi Wang, Shuang Jiang, Wei Communication University of China State Key Laboratory of Media Convergence and Communication 100024 China Communication University of China Key Laboratory of Acoustic Visual Technology and Intelligent Control System 100024 China Communication University of China Beijing Key Laboratory of Modern Entertainment Technology 100024 China

ISBN: (纸本)9798350380347

The traditional color system of Beijing Forbidden City is comprehensive and complex. The research focuses on collecting color data from the Forbidden City, analyzing subjective and objective color attributes, and compute architectural color image scale. First this research used K-means algorithm to extract the theme color cards of Beijing Forbidden City. Subsequently, single colors were extracted using the idea of community detection, and matching colors were extracted based on the thought of association rule mining. Then this research extracted objective attributes of colors and designed experiments to quantify subjective attributes. Finally, the color subjective and objective data fitting was completed. This outcome is helpful for the digital preservation of traditional colors and the advancement of color culture inheritance practices. © 2024 IEEE.

关键词： Color computer graphics

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