Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018)
Session: Image Processing and Pattern Recognition
16 articles
Proceedings Article
Guidance System Based on Image Processing
Dahai Yu, Manman Shen
To solve the problem of blind travel, a guide system based on image processing is designed. The visual information collected by a CCD camera. The voice information is used to communicate with the user. The overall design of this system is given. Recognize the zebra line by the bipolar system value. Recognize...
Proceedings Article
Foggy Day Image Sharpening Algorithm Based on Depth of Field Estimation
Changli Li, Qian Jia
Traditional dehazing methods always use the dark channel a priori method to recover the original image, which leads to the calculation of the transmission is large and takes too much time. Therefore, in this paper, we present a fog-day-based image sharpening algorithm based on depth of field estimation....
Proceedings Article
A Study on Arc Image Acquisition and Spectrum Inspection for Welding Process Surveillance
Yirong Zou, Jiajun Liu, Zheming Wu
This paper proposes a method for welding process surveillance, using the CCD camera and the spectrograph for the acquisition of the welding arc image and the spectral information. The spectral information inferred the temperature distribution and the metallic vapor density in the welding arc space. The...
Proceedings Article
Context-aware Pedestrian Detection with Salient Region Self-growing in Far-infrared Images
Hao Sheng, Meiyuan Liu, Yanwei Zheng, Yang Liu
In this paper, we present a new framework to detect pedestrians in infrared images. The framework consists of a candidate generation module and a classification module, both of which are implemented based on convolution neural network. Specifically, we learned effective segmentation threshold by deep...
Proceedings Article
Disease Edge Detection of Medical CT Image Using Digital Wavelet Filter
Woon Cho, Daewon Chung, Yuhan Wu, Joonhyeon Jeon
The aim of this study is detecting disease edge of the medical CT (Computed Tomography) image. This paper describes the method by using 3-Tap bandpass filter signal and two high frequency sub-band CT images in wavelet domain for detecting part of disease. Simulation result show that the proposed method...
Proceedings Article
Classification Analysis of the Auditory Cognitive States for Sighted and Blind People Based on a Whole-brain "Searchlight" SVM
Jianlong Zheng, Junhai Xu
When talking about auditory perception, it remains unclear how people could achieve sound identification and localization efficiently even in the middle of chaos. Though the dual-pathway model is widely held, there are still controversies in specific brain regions. Moreover, some machine learning methods...
Proceedings Article
Person Re-Identification Based on Data Prior Distribution
Yancheng Wu, Hongchang Chen, Shaomei Li, Chao Gao, Hongxin Zhi, Yuchao Jiang, Yanchuan Wang
In order to solve the problem of insufficient accuracy of the existing person re-identification methods. We propose a neural network model for identifying pedestrian properties and pedestrian ID. Compared with the existing methods, the model mainly has the following three advantages. First, our network...
Proceedings Article
An Efficient Method of Face and Keypoint Detection Based on Shared Network
Xiaogang Tian, Xiaoye Fan, Feixue Tang, Xixin Cao
We propose a method to perform face detection and facial keypoint detection in parallel. On the basis of the traditional object detection framework Faster R-CNN for face detection, we have designed a facial keypoint detection network with the same base network. And the two networks share the weights...
Proceedings Article
An Ensemble Method of Global and Local Representation for Face Recognition
Zhiyong Zeng
To aim at the challenge of face recognition to uncontrolled situations, an ensemble method of global and local representation for face recognition is presented in this paper. shearlets transform is firstly employed to decompose a image into subimages. Then directional information is utilized along with...
Proceedings Article
Single Image Super-Resolution Based on Improved WGAN
Lei Yu, Xiang Long, Chao Tong
SRGAN has successfully applied the Generative Adversarial Network to the single image super-resolution reconstruction, which has achieved good results. But the loss function based on feature space in SRGAN objectively sacrifices the pursuit of high peak signal-to-noise-ratio (PSNR), which is the result...
Proceedings Article
Multi-Spectral Stereo Image Matching Based On Adaptive Window
Bin Yan, Xiangshan Kong, Fuyou Jiang, Peng Xu, Hui Yuan
In the multi-spectral image registration, because of the different imaging mechanism, the distribution of image's pixel gray value is non-linear. So the traditional matching algorithm based on gray correlation and image feature cannot be used simply. Since the mutual information measure does not need...
Proceedings Article
A Neural Dynamics and Oscillator Interference Mixed Model of the Grid Cells for Spatial Recognition
Naigong Yu, Ziwei Luo, Yujia Zhai
Grid cells in the MEC (media entorhinal cortex) of rats show repetitive hexagon firing pattern while moving through the environment. In the deeper layer of the MEC, a kind of interneurons have both the head-directing (HD) and grid-like firing properties. The predecessors' observations indicate the grid...
Proceedings Article
A Fast Method for Measuring Kinematic Parameters of Experimental Vehicle Based on Machine Vision
Zi Liang, Tao Wang
The vehicle kinematic parameter is important evaluation index of vehicle performance. But the measurement technique for vehicle kinematics parameters is still immature. Practical and efficient measuring system is now in badly demand. With the development of machine vision technique, more and more measurement...
Proceedings Article
EEG-based Emotion Word Recognition
Weiwei Dong, Panpan Wang, Yazhou Zhang, Tianshu Wang, Jiabin Niu, Shengnan Zhang
Emotion recognition rapidly gains interest from research community, which gives computer the ability to recognize, understand, express, and adapt to human emotions to help computer more intelligent. Traditional emotion recognition modalities (e.g. face and voice) always could not identify the totally...
Proceedings Article
Chinese Named Entity Recognition with Inception Architecture and Weight Loss
Jun Zhao, Wei Fang
Named Entity Recognition(NER) is a very important part of many Natural Language Processing(NLP) tasks, but the accuracy rate of NER has not reached our expectation, especially in Chinese. Therefore, we studied NER task in Chinese social media. Compared to the previous papers on this dataset, we propose...
Proceedings Article
Heuristic Maximum Clique Based Identity Switches Awareness for Tracking
Chao Li, Di Cui, Hao Sheng, Jiahui Chen, Yang Zhang
Multi-target tracking is a popular research topic in the field of computer vision. Most recent works based on tracking-by-detection paradigm have trouble when dealing with tracking errors (i.e. identity switches) that are caused by overlapping of different pedestrians. In this work, we propose a novel...