Journals >Opto-Electronic Engineering
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2018
Volume: 45 Issue 8
11 Article(s)
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[in Chinese]
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 1 (2018)
Research Articles
Dim small target tracking based on improved particle filter
Fan Xiangsuo, Xu Zhiyong, and Zhang Jianlin
As to solve the problem of dim small target tracking in low signal-to-noise ratio (SNR<3 dB) scenes, an improved particle filter tracking method is proposed. This paper firstly obtains the gray feature by spatial position weighting method, and combines the neighborhood motion model and the gray probability graph to As to solve the problem of dim small target tracking in low signal-to-noise ratio (SNR<3 dB) scenes, an improved particle filter tracking method is proposed. This paper firstly obtains the gray feature by spatial position weighting method, and combines the neighborhood motion model and the gray probability graph to get the motion features of dim small target. Then construct the joint observation model of gray and motion features to calculate the particle weights. At the same time, in the process of tracking, the gray distribution of the target is not stable, and the strategy of adaptively updating the gray template of reference target is added. Finally, the sequence image is used to prove the tracking effect of dim small target. Experiments show that compared with the traditional particle filter algorithm, the proposed method greatly enhanced the tracking ability of dim small target in low SNR (SNR<3 dB) scenes..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 170569 (2018)
The auto guiding system combined with sub-pixel real-time gray projection algorithm
Song Zhiming, Liu Guangqian, and Qu Zhongquan
Guiding systems serving modern astronomical telescopes are usually subjected to atmospheric and wind-borne disturbances that result in inaccurate calculation of the center of gravity of the guiding beacon. In order to solve this problem effectively, the sub-pixel real-time gray projection algorithm is nested into the aGuiding systems serving modern astronomical telescopes are usually subjected to atmospheric and wind-borne disturbances that result in inaccurate calculation of the center of gravity of the guiding beacon. In order to solve this problem effectively, the sub-pixel real-time gray projection algorithm is nested into the algorithm of center of gravity of auto guiding system, which reduces the jitter of the center of gravity in a closed-loop cycle of auto guiding system without losing time resolution and achieves the goal of improving the performance of auto guiding system. First of all, in the paper, we analyze that to implement high performance auto guiding system, obtaining high real-time and small error guiding beacon's center of gravity is significant, and point out that gray projection algorithm plays an important role in the course of obtaining the guiding beacon's center of gravity. Furthermore, after analyzing the reason that classic gray projection algorithm is able to be combined with the center of gravity to increase the performance of auto guiding system, we modify the classic gray projection algorithm in the speed and accuracy so as to combine the modified algorithm with the algorithm of center of gravity of auto guiding system and achieve the goal of improving the performance of auto guiding system. Finally, we test our auto guiding system with the algorithms mentioned above in a 400 mm aperture telescope, and conclude that our system can obviously decrease the random jitter caused by wind load at the cost of less decreasing temporal resolution, and achieve the goal of improving its performance..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 170586 (2018)
An accurate calibration method of the ball screen projection point targets tracking system
Cai Huaiyu, Ding Lei, Huang Zhanhua, and Liu Kun
This paper proposes an accurately calibration method which is suitable for the scene, on the issues of multiple subsystems relative position detecting complexity in a ball screen projection point targets tracking system. Take the ball screen as the world coordinate system, and mark center of the ball by subsystem to imThis paper proposes an accurately calibration method which is suitable for the scene, on the issues of multiple subsystems relative position detecting complexity in a ball screen projection point targets tracking system. Take the ball screen as the world coordinate system, and mark center of the ball by subsystem to implement coordinate transformation of the projection point among the subsystems. The author studies the calibration principle and the projecting method, and provides a solution. Through Matlab simulation analysis of the error factor, simulated results show that the ball screen calibration precision can be effectively improved by reducing the distance between the subsystem and its center or perfecting the projection point spatial distribution. Eventually, this paper presents a calibration method based on the TLS and designs a virtual sphere, calibration device and finishes the experiments. The experimental results meet the demand of quick and accurate site calibration..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 170656 (2018)
Algorithm for object detection and tracking combined on four inter-frame difference and optical flow methods
Liu Xin, and Jin Xuanhong
To solve the problem of multiple targets’ detection and tracking under the complex environment, in this paper, an improved moving objects detection method is proposed based on four inter-frame differential method and optical flow algorithm. Firstly, four inter-frame difference method is used to process the of video seqTo solve the problem of multiple targets’ detection and tracking under the complex environment, in this paper, an improved moving objects detection method is proposed based on four inter-frame differential method and optical flow algorithm. Firstly, four inter-frame difference method is used to process the of video sequences. Then objects in the video is detected accurately by the optical flow algorithm used on light streaming video sequences. This improved method enhances the processing speed of optical flow method and reduces the effects of environment’s illumination. Finally, the paper compares the proposed algorithm with particle filter, ViBe algorithm under different scenarios with different moving targets and individual number. This improved method is proved not only with good robustness, but also can work more quickly and accurately on the target detection and tracking..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 170665 (2018)
The optical flow detection method of moving target using deep convolution neural network
Wang Zhenglai, Huang Min, Zhu Qibing, and Jiang Sheng
Moving target detection is an important research direction of object detection, and it plays an important role in target recognition. The accuracy of traditional motion detection methods is low, which are unable to only detect the required moving target. In this study, deep convolutional neural network is introduced inMoving target detection is an important research direction of object detection, and it plays an important role in target recognition. The accuracy of traditional motion detection methods is low, which are unable to only detect the required moving target. In this study, deep convolutional neural network is introduced into the optical flow detection of moving target. In this method, a pair of images and optical flow fields of target are used as inputs of the network to adaptively study the target optical flow. Furthermore, through optimization of the expanding part of the network and the simplification of the network, and combined with many data augmentation technologies, the optical flow detection network of target object with both accuracy and real-time is designed. Experimental results show that the proposed method has better performance in the optical flow detection of moving target. SS-sp and CS-sp network are improved by about 5.0% compared to the original network on the precision and the runtime of the network is significantly reduced, which meet the requirements of real-time detection..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 180027 (2018)
TLD target tracking algorithm based on dynamic capture
He Junheng, Liu Shu, and Di Hongwei
In order to improve the ability of processing video image with high frame rate and meet the real-time requirement in higher resolution video tracking goal, DC-TLD target tracking algorithm, which is based on TLD algorithm and the theory of capturing sample dynamically, is proposed. Firstly, DC-TLD takes the target locaIn order to improve the ability of processing video image with high frame rate and meet the real-time requirement in higher resolution video tracking goal, DC-TLD target tracking algorithm, which is based on TLD algorithm and the theory of capturing sample dynamically, is proposed. Firstly, DC-TLD takes the target location of the previous frame as the predicted value of the current frame. Secondly, it calculates the threshold r of negative samples for ensuring that the number of negative samples is sufficient. Thirdly, it accesses the samples by index. The results of experiments show that DC-TLD is more robust and more efficient..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 180030 (2018)
Space objects detection in video satellite images using improved MTI algorithm
Luo Zhenjie, and Zeng Guoqiang
An improved MTI algorithm is proposed in this paper to solve the problem of space objects detection in video satellite images. In order to detect the inconsecutive target’s trajectory, at the beginning of the algorithm we set a special preprocessing which is called pixel’s feeling domain. To reduce the time of the algoAn improved MTI algorithm is proposed in this paper to solve the problem of space objects detection in video satellite images. In order to detect the inconsecutive target’s trajectory, at the beginning of the algorithm we set a special preprocessing which is called pixel’s feeling domain. To reduce the time of the algorithm, we simplified the time projection part of the classic MTI algorithm, which is used to restrain the background. Finally, targets trajectories are obtained through connected domain detection. The experimental results show that, the improved MTI algorithm can effectively eliminate the background and is suitable for the inconsecutive target’s trajectory detection. In addition, the algorithm’s processing speed almost meets the real-time task..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 180048 (2018)
Research on key algorithms of automatic device for observing the behavior of zebrafish
Mo Site, Liu Tianqi, and He Ling
Studies on the zebrafish behavior have attracted more and more attention. The algorithm of 3D coordinate calculation is the basis of zebrafish behavioral analysis. An automatic device for observing the behavior of zebrafish was designed based on binocular stereo vision technology. According to methods of p-rate threshoStudies on the zebrafish behavior have attracted more and more attention. The algorithm of 3D coordinate calculation is the basis of zebrafish behavioral analysis. An automatic device for observing the behavior of zebrafish was designed based on binocular stereo vision technology. According to methods of p-rate threshold and pattern threshold, the image threshold algorithm was proposed. Horizontal X and Y coordinates of single zebrafish were figured out by calculating the average of pixel coordinates of image contour. If the difference of Y coordinate values among different zebrafishes is large, two groups of zebrafishes captured by two cameras will be set up separately according to the Y coordinate values, and the same serial number in two groups means the same target. If the difference of Y coordinate is small, the same target in different cameras was identified by the method of minimum distance. The formula of three-dimensional coordinates was conducted based on the refraction theorem and the structure of the observation device. Algorithm analysis shows that the running time of the algorithm proposed in the paper is saved. Validating testing to a number of fishes is designed and carried out to show that the calculated coordinates are close to the preset locations..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 180101 (2018)
Extended HOG-CLBC for pedstrain detection
Cheng Deqiang, Tang Shixuan, Feng Chenchen, You Dalei, and Zhang Liying
The traditional feature fusion method based on HOG and LBP loses much spectral information, and it is more sensitive to noise. The original LBP algorithm has poor robustness to uneven illumination changes and poor rotation invariance to texture features. In order to overcome these shortcomings of the method, this paperThe traditional feature fusion method based on HOG and LBP loses much spectral information, and it is more sensitive to noise. The original LBP algorithm has poor robustness to uneven illumination changes and poor rotation invariance to texture features. In order to overcome these shortcomings of the method, this paper proposes a pedestrian detection algorithm based on the feature fusion of CLBC and HOG. First, the CLBC feature of the original image is calculated, and the HOG feature based on the CLBC texture feature spectrum is calculated. The HOG feature of the original image is then calculated to extract the edge feature of the image. Then three features of the image are fused to describe the image, and after that we use principal component analysis to reduce the feature dimension. Finally, the detection of the pedestrian is realized by using the HIKSVM classifier. In this paper, experiments are carried out in Caltech pedestrian database and INRIA pedestrian database to verify the effectiveness of the proposed algorithm. The final experimental results show that the proposed algorithm improves the accuracy of pedestrian detection..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 180111 (2018)
Research on pose measurement between two non-cooperative spacecrafts in close range based on concentric circles
Wang Ke, Chen Xiaomei, and Han Xu
Conventional measurement of relative poses between two non-cooperative spacecrafts in close range is derived from the iteration of monocular vision or three-dimensional reconstruction of binocular vision, which introduces errors in the process of feature matching, and the timeliness and accuracy are poor. Regarding theConventional measurement of relative poses between two non-cooperative spacecrafts in close range is derived from the iteration of monocular vision or three-dimensional reconstruction of binocular vision, which introduces errors in the process of feature matching, and the timeliness and accuracy are poor. Regarding the issues above, this article tries to do some researches on measurement of relative poses between two non-cooperative spacecrafts in close range based on concentric circles. Here, ‘concentric circles’ means the spatial parallel but not coplanar positional relationship between docking ring and engine nozzle. Through the binocular vision measurement model, the angle adaptability and the applicability are improved. Then, the algorithm of this model is simulated, and the simulated results show that the accuracy of the algorithm can reach higher than 0.5°..
Opto-Electronic Engineering
- Publication Date: Jan. 01, 1900
- Vol. 45, Issue 8, 180126 (2018)
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