An Improved Trace Method for Moving Target under Occlusion

2014 ◽  
Vol 672-674 ◽  
pp. 1931-1934
Author(s):  
Yu Bing Dong ◽  
Guang Liang Cheng ◽  
Ming Jing Li
Keyword(s):  
Mathematical Model ◽  
Target Tracking ◽  
Difficult Problem ◽  
Block Matching ◽  
Experimental Results ◽  
Polar Coordinates ◽  
Moving Target ◽  
Trajectory Prediction ◽  
Tracking Method

Occlusion is a difficult problem to be solved in the process of target tracking. In order to solve the problem of occlusion, a new tracking method combined with trajectory prediction and multi-block matching is presented and studied,and a mathematical model of trajectory prediction of moving target is established in polar coordinates and verified through some experiments. The experimental results show that the new tracking method can be better to trace and forecast the moving target under occlusion.

Moving Target Tracking Based on Trajectory Prediction

2014 ◽  
Vol 1070-1072 ◽  
pp. 2062-2065
Author(s):  
Yu Bing Dong ◽  
Ying Sun ◽  
Ming Jing Li
Keyword(s):  
Mathematical Model ◽  
Target Tracking ◽  
Tracking System ◽  
Moving Target ◽  
Improved Method ◽  
Trajectory Prediction ◽  
Tracking Method ◽  
Moving Target Tracking

An improved tracking method based on trajectory prediction is proposed and studied. The moving target tracking system is given and described. In order to fast and efficient tracking, a mathematical model of trajectory prediction of moving target is established. A large of experiments are carried by MALTAB. The results show that the improved method is better, improves the tracking speed and tracking precision.

Multi-Object Tracking with Single Camera

2015 ◽  
Vol 740 ◽  
pp. 668-671
Author(s):  
Yu Bing Dong ◽  
Ying Sun ◽  
Ming Jing Li
Keyword(s):  
Computer Vision ◽  
Object Tracking ◽  
Block Matching ◽  
Tracking Algorithm ◽  
Experimental Results ◽  
Single Camera ◽  
Trajectory Prediction ◽  
Tracking Method

Multi-object tracking has been a challenging topic in computer vision. A Simple and efficient moving multi-object tracking algorithm is proposed. A new tracking method combined with trajectory prediction and a sub-block matching is used to handle the objects occlusion. The experimental results show that the proposed algorithm has good performance.

Research on Underwater Target Tracking Based on Contour Detection

2011 ◽  
Vol 317-319 ◽  
pp. 890-896
Author(s):  
Ming Jun Zhang ◽  
Yuan Yuan Wan ◽  
Zhen Zhong Chu
Keyword(s):  
Prediction Model ◽  
Target Tracking ◽  
Tracking System ◽  
Contour Detection ◽  
Motion Prediction ◽  
Moving Target ◽  
Contour Extraction ◽  
Tracking Accuracy ◽  
Tracking Method ◽  
Underwater Target

The traditional centroid tracking method over-relies on the accuracy of segment, which easily lead to loss of underwater moving target. This paper presents an object tracking method based on circular contour extraction, combining region feature and contour feature. Through the correction to circle features, the problem of multiple solutions causing by Hough transform circle detection is avoided. A new motion prediction model is constructed to make up the deficiency that three-order motion prediction model has disadvantage of high dimension and large calculation. The predicted position of object centroid is updated and corrected by circle contour, forming prediction-measurement-updating closed-loop target tracking system. To reduce system processing time, on the premise of the tracking accuracy, a dynamic detection method based on target state prediction model is proposed. The results of contour extraction and underwater moving target experiments demonstrate the effectiveness of the proposed method.

Vision tracking based on adaptive interactive fusion

2020 ◽  
Vol 39 (6) ◽  
pp. 9037-9044
Author(s):  
Junyan Shi ◽  
Han Jiang
Keyword(s):  
Target Tracking ◽  
Personnel Management ◽  
Template Matching ◽  
Feature Fusion ◽  
Research Work ◽  
Feature Representation ◽  
Moving Target ◽  
Moving Targets ◽  
Tracking Method ◽  
Complex Scenes

Under the influence of COVID-19, detection and identification of moving targets are very important for personnel management. A lot of research work has improved the accuracy and robustness of the moving target tracking method, but the recognition accuracy of the traditional target tracking method in complex scenes (lighting changes, background interference, posture changes and other factors) is not satisfactory. In this paper, in view of the limitations of single feature representation of target objects, the method of fusion of HSV color features and edge direction features is used to identify and detect moving targets. In each frame of the tracking process, the weight of each feature is adjusted adaptively according to the proposed fusion strategy, and the position of the target is located by using the method of double template matching. Experiments show that the proposed tracking algorithm based on multi feature fusion can meet the requirements of moving target recognition in complex scenes. The method proposed in this paper has a certain reference value for personnel management under the influence of COVID-19.

Embedded System Based Target Tracking

2012 ◽  
Vol 468-471 ◽  
pp. 1605-1608
Author(s):  
Qi Yuan Sun ◽  
Liu Sheng Li ◽  
Zuo Liang Cao
Keyword(s):  
Mobile Robot ◽  
Embedded System ◽  
Particle Filter ◽  
Target Tracking ◽  
Real Time ◽  
Energy Cost ◽  
Low Energy ◽  
Experimental Results ◽  
Moving Target ◽  
The Real

A mobile robot based on embedded system can meet the requirement of low energy cost and miniaturization. An embedded system for moving target tracking is designed in this paper. By combining with wavelet transmission, an improved algorithm of particle filter with wavelet particles is proposed for tracking maneuver target, and then a scheme of optimization is also proposed to enhance the real-time property of the system. Experimental results show that the system can be suitable for real-time target tracking applications.

scholarly journals Automatic Manipulator Tracking Control Based on Moving Target Trajectory Prediction

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Haifeng Luo
Keyword(s):  
Target Tracking ◽  
Tracking Control ◽  
Moving Target ◽  
Trajectory Prediction ◽  
Target Trajectory ◽  
Proposed Model ◽  
Core Issue ◽  
Testing Algorithm ◽  
The Given ◽  
Automatic Manipulator

The core issue of automatic manipulator tracking control is how to ensure the given moving target follows the expected trajectory and adapts to various uncertain factors. However, the existing moving target trajectory prediction methods rely on highly complex and accurate models, lacking the ability to generalize different automatic manipulator tracking scenarios. Therefore, this study tries to find a way to realize automatic manipulator tracking control based on moving target trajectory prediction. In particular, a moving target trajectory prediction model was established, and its parameters were optimized. Next, a tracking-training-testing algorithm was proposed for manipulator’s automatic moving target tracking, and the operating flows were detailed for training module, target detection module, and target tracking module. The proposed model and algorithm were proved effective through experiments.

Infrared dim moving target tracking method based on multiple features

2011 ◽  
Vol 23 (1) ◽  
pp. 54-58 ◽  
Author(s):  
李正周 Li Zhengzhou ◽  
马齐佑 Ma Qiyou ◽  
郑微 Zheng Wei ◽  
刘书君 Liu Shujun ◽  
金钢 Jin Gang
Keyword(s):  
Target Tracking ◽  
Moving Target ◽  
Multiple Features ◽  
Tracking Method ◽  
Moving Target Tracking
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