2020 Vol. 46, No. 9

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Volume 46 Issue92020
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Construction of network security situation indicator system for video private network
LI Xin, DUAN Yongcheng, HUANG Shuhua, FAN Zhijie
2020, 46(9): 1625-1634. doi: 10.13700/j.bh.1001-5965.2020.0043
Abstract:

In view of the lack of a complete set of index system in the current network security situation assessment for video private networks, the article studies the construction of network security situation index system. Firstly, the paper focuses on the research and analysis of the network security risk...

Cross-modal object tracking algorithm based on pedestrian attribute
ZHOU Qianli, ZHANG Wenjing, ZHAO Luping, TIAN Naiqian, WANG Rong
2020, 46(9): 1635-1642. doi: 10.13700/j.bh.1001-5965.2020.0042
Abstract:

The accuracy and robustness of the object tracking algorithm have been influenced by the intra-class interference when tracking pedestrian. In this paper, we analyze the drawbacks of current tracking algorithms and propose a model to combine the visual feature and language priori to improve the perf...

Lane semantic analysis based on road feature information
LUO Sheng, ZHAO Li, WANG Muchou
2020, 46(9): 1643-1649. doi: 10.13700/j.bh.1001-5965.2020.0079
Abstract:

Law enforcement on express roads in moving car requires to semantically analyze the road by lane detection algorithm, but the accuracy and recall rate of the algorithms based on human-crafted features are not good enough, and the algorithms based on deep learning require too much computing resource....

Vehicle re-identification optimization algorithm based on high-confidence local features
DOU Xinze, SHENG Hao, LYU Kai, LIU Yang, ZHANG Yang, WU Yubin, KE Wei
2020, 46(9): 1650-1659. doi: 10.13700/j.bh.1001-5965.2020.0067
Abstract:

In solving vehicle re-identification problems, different vehicle regions have different recognition degree of confidence. Based on this observation, we propose a vehicle re-identification optimization algorithm that takes advantage of the high-confidence local features. First, the vehicle key point ...

White-box cryptographic video data sharing system based on SM4 algorithm
WU Zhen, BAI Jian, LI Dashuang, LI Bin, ZENG Bing, ZHANG Zhengqiang
2020, 46(9): 1660-1669. doi: 10.13700/j.bh.1001-5965.2020.0080
Abstract:

White-box cryptographic video data sharing system based on SM4 algorithm is a system that guarantees the security of cross-level and cross-domain sharing of surveillance video data.In this paper, we propose a white-box cipher implementation method based on SM4 cryptographic algorithm, and analyze th...

High-performance multi-core video stream transmission model based on PF_RING
LI Xin, FAN Zhijie, CAO Zhiwei, HU Zhengliang, CHEN Guoliang
2020, 46(9): 1670-1676. doi: 10.13700/j.bh.1001-5965.2020.0076
Abstract:

The problem of video traffic transmission has become a research focus in the task of high-performance video stream transmission. In this paper, a model based on PF_RING is proposed to solve this problem. In this model, PF_RING+TNAPI technology, memory routing table, multi-core, multi-queue multi-thr...

Automatic recognition for terrorism related image based on transfer learning
CHEN Mengfu
2020, 46(9): 1677-1681. doi: 10.13700/j.bh.1001-5965.2020.0046
Abstract:

Using AI and deep learning technology to automatically analyze massive Internet pictures, quickly and accurately identifying harmful images related to terrorism and dealing with them in time is one of the important means for anti-terrorism work. This paper studies how to use deep learning and transf...

Cross-domain person re-identification based on partial semantic feature invariance
ZHANG Xiaowei, LYU Mingqiang, LI hui
2020, 46(9): 1682-1690. doi: 10.13700/j.bh.1001-5965.2020.0072
Abstract:

Cross-domain is one of the main challenges of person re-identification which is an important investigative method in criminal investigation cases, and that restricts the practical application of re-identification. In this paper, cross-domain invariance feature model based on pedestrian partial seman...

Monocular image based 3D model retrieval using triplet network
DU Yujia, LI Haisheng, YAO Chunlian, CAI Qiang
2020, 46(9): 1691-1700. doi: 10.13700/j.bh.1001-5965.2020.0057
Abstract:

With the diversified development of media data, the cross-domain retrieval between images and 3D models becomes a new challenge for 3D model retrieval. In view that images and 3D models are extremely different and hard to match, a cross-domain retrieval algorithm based on triple network is proposed ...

Structural weighted low-rank approximation for Poisson image deblurring
WU Qingbo, REN Wenqi
2020, 46(9): 1701-1710. doi: 10.13700/j.bh.1001-5965.2020.0061
Abstract:

To solve the problem of image quality degradation caused by Gaussian blur and Poisson noise, an image deblurring method based on structural weighted low-rank approximation is proposed. First, a structural transformation is introduced by subsequently combining the four basic operations of scaling, ro...

Learning shrinkage fields for low-light image enhancement via Retinex
WU Qingbo, WANG Rui, REN Wenqi
2020, 46(9): 1711-1720. doi: 10.13700/j.bh.1001-5965.2020.0064
Abstract:

To enhance a low-light image and mitigate noises simultaneously, we propose an image enhancement algorithm by learning Shrinkage Field (SF) to improve the reflectance image and the illumination map in Retinex model. To this end, first, we design a novel objective function by constraining the latent ...

Extraction of foreground area of pedestrian objects under thermal infrared video surveillance
ZHANG Yugui, SHEN Liuqing, HU Haimiao
2020, 46(9): 1721-1729. doi: 10.13700/j.bh.1001-5965.2020.0068
Abstract:

Under the thermal infrared video surveillance, in order to solve the problem of the gray value inversion in thermal infrared image caused by the changes in ambient temperature, this paper proposes a method of extracting the foreground area of pedestrian objects by the fusion of boundary feature and ...

Intelligent criminal investigation system based on both footprint recognition and surveillance video analysis
TAO Yining, SU Feng, YUAN Peijiang, WANG Tianmiao, ZHONG Tao, HAO Jingru
2020, 46(9): 1730-1738. doi: 10.13700/j.bh.1001-5965.2020.0062
Abstract:

Criminal investigation is the basic requirement for cracking down on crimes and ensuring the long-term security of the country. One of the key points in criminal investigation is how to effectively use the collected information. In order to support criminal investigation better, an intelligent crimi...

Dual-spectrum intelligent temperature detection and health big data management system
ZHANG Jieru, SU Feng, YUAN Peijiang, WANG Tianmiao, TAO Yining, DING Dong
2020, 46(9): 1739-1746. doi: 10.13700/j.bh.1001-5965.2020.0063
Abstract:

Public safety video surveillance has played an important role in the battle against Corona virus disease 2019. Aimed at the characteristics of high population density, large flow of people, and the easy spread of Corona virus disease 2019 in China, an intelligent temperature detection and health big...

Pedestrian re-identification method based on spatial attention mechanism
ZHANG Zihao, ZHOU Qianli, WANG Rong
2020, 46(9): 1747-1755. doi: 10.13700/j.bh.1001-5965.2020.0075
Abstract:

Pedestrian re-identification has always been an important part of image retrieval. However, due to different pedestrian poses and complex backgrounds, the extracted pedestrian features are not robust and representative, which in turn affects the accuracy of pedestrian re-recognition. In this paper, ...

Improved face recognition method based on MobileFaceNet network
ZHANG Zihao, WANG Rong
2020, 46(9): 1756-1762. doi: 10.13700/j.bh.1001-5965.2020.0049
Abstract:

In order to solve the problem of more convolutional model parameters and slower convergence speed during training, an improved face recognition method based on MobileFaceNet network is proposed. First, we use the MobileFaceNet network to extract facial features. In the process of extracting features...

An improved ORB algorithm based on region division
SUN Hao, WANG Peng
2020, 46(9): 1763-1769. doi: 10.13700/j.bh.1001-5965.2020.0054
Abstract:

The feature points extracted by the traditional ORB algorithm are not evenly distributed, are redundant and have no scale invariance. To solve this problem, this paper proposes an improved ORB algorithm based on region division. According to the total number of feature points to be extracted and the...

Vital signs detection via facial video analysis
CHEN Hui, ZHENG Xiujuan, NI Zongjun, ZHANG Yun, YANG Xiaomei
2020, 46(9): 1770-1777. doi: 10.13700/j.bh.1001-5965.2020.0065
Abstract:

To detect the physiological signals related to vital signs via facial video is easily affected by ambient lights and head motions. In order to reduce the disturbance and increase the accuracy of estimations of vital signs, this paper proposes a facial video analysis method that combines Ensemble Emp...

A lightweight multi-target real-time detection model
QIU Bo, LIU Xiang, SHI Yunyu, SHANG Yanfeng
2020, 46(9): 1778-1785. doi: 10.13700/j.bh.1001-5965.2020.0066
Abstract:

For the public security monitoring system, a lightweight multi-target real-time detection algorithm is proposed in order to realize the accurate intelligence of the content analysis and improve the actual service ability. First, the multi-fusion gradient cascade structure of CBNet is added based on ...

Trans-scale feature aggregation network for multiscale pedestrian detection
CAO Shuai, ZHANG Xiaowei, MA Jianwei
2020, 46(9): 1786-1796. doi: 10.13700/j.bh.1001-5965.2020.0069
Abstract:

Space scale variation of pedestrian instance is one of the main bottlenecks affecting pedestrian detection performance. For this issue, a Trans-Scale Feature Aggregation Network (TS-FAN) is proposed to effectively deal with multi-scale pedestrian detection. First, in view of the feature differences ...

Facial expression recognition method based on a joint normalization strategy
LAN Lingqiang, LI Xin, LIU Qiyuan, LU Shuhua
2020, 46(9): 1797-1806. doi: 10.13700/j.bh.1001-5965.2020.0073
Abstract:

As for that end-to-end feature extraction and classification based on deep learning often used in facial expression recognition, a new method of depth model optimization has been proposed. This paper proposes the joint optimization strategies learned from ResNet18 residual network and normalization ...

Palmprint enhancement and ROI extraction based on U-Net
LU Zhanhong, SHAN Lubin, SU Lixun, JIAO Yuxin, WANG Jiahua, WANG Haixia
2020, 46(9): 1807-1816. doi: 10.13700/j.bh.1001-5965.2020.0309
Abstract:

Palmprint is a biometric feature with great application potential due to its stability, uniqueness, hardness in copying, and easy access.In the palmprint recognition, palmprint Region of Interest(ROI) acquisition and palmprint enhancement usually have the problems of high time cost and high dependen...