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检索条件"主题词=Camshift Tracking Algorithm"

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camshift tracking algorithm for metro entrance and exit security

CAMShift tracking algorithm for metro entrance and exit secu...

引用

Chinese Automation Congress (CAC)

作者： Cai, Jiaji Chen, Yang Zhu, Jiang Zheng, Xiujuan Wu, Huaiyu Minist Educ Engn Res Ctr Met Automat & Measurement Technol Wuhan 430081 Peoples R China Wuhan Univ Sci & Technol Inst Robot & Intelligent Syst Wuhan 430081 Peoples R China

ISBN: (纸本)9781728140940

In view of security issues, this paper studies how to track suspicious human at the metro entrance and exit accurately and quickly. A novel tracking method combining Kalman filter and SURF algorithm embedded in camshift target tracking algorithm was proposed. Firstly, the algorithm chooses target template for tracking by hand, then the Bhattacharyya coefficient is calculated by comparing the comprehensive histogram of chromaticity and gradient direction between the candidate target and the template target. If the Bhattacharyya coefficient between the template with the candidate target area is greater than the given threshold for detection, the tracking process will be failed. At this time, the SURF algorithm is used for feature matching on tracking result window in current search window and previous frame, and the size and position of the suspicious person are recalculated. At the same time, in order to avoid the failure of suspicious personnel tracking caused by occlusion, Kalman filter is used to predict and update the moving window so as to determine the central position of the search window in the next frame. Experiments show that the proposed algorithm can stably track the suspicious target personnel even when adverse effects such as color disturbance, partial occlusion, and complex image background occur.

关键词： Security on metro entrance and exit camshift tracking algorithm Kalman filter SURF algorithm

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Classroom Learning Situation Analysis System Based on Computer Vision 4th

Classroom Learning Situation Analysis System Based on Comput...

引用

4th International Conference on Machine Learning, Image Processing, Network Security and Data Sciences (MIND)

作者： Chen, Yixin Hu, Xi Jianghan Univ Sch Artificial Intelligence Wuhan Hubei Peoples R China

ISBN: (纸本)9783031243660;9783031243677

With the continuous progress of society and the change of learning methods and teaching environment, research on the analysis of College Students' learning situation in the classroom is emerging in endlessly. The real-time learning situation analysis (LSA) system of college students mainly analyzes college students' learning status and behavior in the classroom, which can provide college teachers with the basis and means to effectively manage the classroom. Based on computer vision (CV) technology, this paper takes the students' listening behavior in college theory class as the research object, and uses camshift tracking algorithm to analyze the behavior of college students in class. On this basis, the system of classroom learning situation analysis (CLSA) based on CV is designed and implemented. Through the simulation experiment, the traditional algorithm is compared with the CV camshift tracking algorithm;The test results show that the recognition rate of this algorithm is about 10% higher in the case of facial interference, which proves the accuracy, availability and effectiveness of the classroom real-time LSA system designed and studied in this paper, and provides a new way of LSA for college teachers and students.

关键词： Computer vision Classroom camshift tracking algorithm Learning situation analysis

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Improved Target tracking algorithm Based on camshift 30

Improved Target Tracking Algorithm Based on Camshift

引用

30th Chinese Control and Decision Conference (CCDC)

作者： Xiu, Chunbo Su, Xuemiao Pan, Xiaonan Tianjin Polytechn Univ Sch Elect Engn & Automat Tianjin 300387 Peoples R China

ISBN: (纸本)9781538612446

The accuracy of tracking based on camshift would decrease due to the similarity between target color and background color or the target is obscured. For the above problems, improved target tracking algorithm based on Camshiff is proposed in this paper. The camshift algorithm is improved by using the contour features of the target, and camshift search window is updated according to the contour feature of the target. Thus, interference of background and strong light is weakened. Kalman filtering algorithm is used to predict the motion state of the tracking target, enhancing the efficiency of tracking when the tracking target is obscured. Experiments show that camshift is combined with the contour feature of target and make the tracking more effectively under the conditions of background. And the Kalman filtering algorithm is used to predict position of the target to make the tracking effectively when the target is obscured.

关键词： camshift tracking algorithm Kalman Filtering algorithm Target Contour

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Improved Target tracking algorithm Based on camshift

Improved Target Tracking Algorithm Based on Camshift

引用

第30届中国控制与决策会议

作者： Chunbo Xiu Xuemiao Su Xiaonan Pan School of Electrical Engineering and Automation Tianjin polytechnic University

The accuracy of tracking based on camshift would decrease due to the similarity between target color and background color or the target is obscured. For the above problems, improved target tracking algorithm based on camshift is proposed in this paper. The camshift algorithm is improved by using the contour features of the target, and camshift search window is updated according to the contour feature of the target. Thus, interference of background and strong light is weakened. Kalman filtering algorithm is used to predict the motion state of the tracking target, enhancing the efficiency of tracking when the tracking target is obscured. Experiments show that camshift is combined with the contour feature of target and make the tracking more effectively under the conditions of background. And the Kalman filtering algorithm is used to predict position of the target to make the tracking effectively when the target is obscured.

关键词： camshift tracking algorithm Kalman Filtering algorithm Target Contour

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Design of Quad-rotor Target tracking System 30

Design of Quad-rotor Target Tracking System

引用

30th Chinese Control and Decision Conference (CCDC)

作者： Xiu, Chunbo Zhao, Yalong Wang, Ruosi Tianjin Polytech Univ Sch Elect Engn & Automat Tianjin 300387 Peoples R China

ISBN: (纸本)9781538612446

The accuracy of tracking based on camshift would decrease due to the similarity between target color and background color or the target is obscured. For the above problems, improved target tracking algorithm based on camshift is proposed in this paper. The camshift algorithm is improved by using the contour features of the target, and camshift search window is updated according to the contour feature of the target. Thus, interference of background and strong light is weakened. Kalman filtering algorithm is used to predict the motion state of the tracking target, enhancing the of of tracking when the tracking target is obscured. Experiments show that camshift is combined with the contour feature of target and make the tracking more effectively under the conditions of background. And the Kalman filtering algorithm is used to predict position of the target to make the tracking effectively when the target is obscured.

关键词： camshift tracking algorithm Kalman Filtering algorithm Target Contour

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Design of Quad-rotor Target tracking System

Design of Quad-rotor Target Tracking System

引用

第30届中国控制与决策会议

作者： Chunbo Xiu Yalong Zhao Ruosi Wang School of Electrical Engineering and Automation Tianjin polytechnic University

The accuracy of tracking based on camshift would decrease due to the similarity between target color and background color or the target is obscured. For the above problems, improved target tracking algorithm based on camshift is proposed in this paper. The camshift algorithm is improved by using the contour features of the target, and camshift search window is updated according to the contour feature of the target. Thus, interference of background and strong light is weakened. Kalman filtering algorithm is used to predict the motion state of the tracking target, enhancing the efficiency of tracking when the tracking target is obscured. Experiments show that camshift is combined with the contour feature of target and make the tracking more effectively under the conditions of background. And the Kalman filtering algorithm is used to predict position of the target to make the tracking effectively when the target is obscured.

关键词： camshift tracking algorithm Kalman Filtering algorithm Target Contour

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Motion Characteristics Estimation of Animals in Video Surveillance 2

Motion Characteristics Estimation of Animals in Video Survei...

引用

2nd IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

作者： Huang, Wenhuan Zeng, Qili Chen, Ming Southeast Univ Natl Mobile Commun Res Lab Nanjing 211189 Jiangsu Peoples R China Southeast Univ Sch Informat Sci & Engn Nanjing 211189 Jiangsu Peoples R China

ISBN: (纸本)9781467389792

This paper proposes a system for the motion characteristics estimation of multiple objects with uncertain quantity. The system employs background subtraction method based on Gaussian Mixture Model to detect objects and tracks them through an improved algorithm combining camshift with Kalman filtering. By analyzing the directions and trails of targets, the system can figure out their pixel distance and velocity. Experiment conducted realizes the proposed system, verifying its performance on motion characteristics estimation.

关键词： background subtraction method Gaussian mixture model camshift tracking algorithm Kalman filtering motion characteristics analysis

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DESIGN AND IMPLEMENTATION OF SMOKE EARLY WARNING SYSTEM BASED ON VIDEO ANALYSIS TECHNOLOGY 16

DESIGN AND IMPLEMENTATION OF SMOKE EARLY WARNING SYSTEM BASE...

引用

International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Ji, Xiaofei Xie, Xuan Zuo, Xinmeng Cao, Jiangtao Shenyang Aerosp Univ Sch Automat Shenyang 110136 Liaoning Peoples R China Lingyun Technol Grp Ltd Liabil Co Beijing 100094 Peoples R China Liaoning Shihua Univ Sch Informat & Control Engn Fushun 113001 Peoples R China

ISBN: (纸本)9781538604083

In order to obtain real-time accurate detection of smoke in the panoramic area, a visual -based smoke early warning system is designed. A 180-degree holographic and high speed camera is equipped as the video capture part of the system, and the video acquisition and target lock functions are implemented. The intelligent recognition function is separated into three steps. Firstly, the suspected smoke area is extracted by Vibe algorithm. Secondly, the camshift method is used to track the suspected area of moving smoke. Thirdly, the smoke is detected by the proposed fusion dynamic features. The interface of system is developed by the software of QT. The designed system can not only realize sensitive area monitoring function in manual mode, but also the intelligent smoke early warning and detection function are achieved in automatic mode. The experimental results showed the designed system obtained the advantages of simple operation, rapid smoke alarm and the satisfied accuracy for industry requirement.

关键词： Smoke detection Real-time alarm Vibe motion detection camshift tracking algorithm QT software

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Motion Characteristics Estimation of Animals in Video Surveillance

Motion Characteristics Estimation of Animals in Video Survei...

引用

2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Wenhuan Huang Qili Zeng Ming Chen National Mobile Communications Research Laboratory Southeast University School of Information Science and Engineering Southeast University

This paper proposes a system for the motion characteristics estimation of multiple objects with uncertain quantity. The system employs background subtraction method based on Gaussian Mixture Model to

ISBN: (纸本)9781467389808

This paper proposes a system for the motion characteristics estimation of multiple objects with uncertain quantity. The system employs background subtraction method based on Gaussian Mixture Model to

关键词： Background subtraction method Gaussian mixture model camshift tracking algorithm Kalman filtering Motion characteristics analysis Kalman filtering video monitoring kinetic characteristic Mixture models trails Animals

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FINGER RECOGNITION AND tracking algorithm BASED ON SINGLE OPTICAL CAMERA

FINGER RECOGNITION AND TRACKING ALGORITHM BASED ON SINGLE OP...

引用

3rd International Conference on Automatic Control and Mechatronic Engineering (ICACME)

作者： Nan Rui Yang Mingli Harbin Inst Technol Weihai Sch Informat & Elect Engn Weihai 264209 Shandong Peoples R China Changzhou Inst Technol Sch Mech & Elect Engn Changzhou 213002 Jiangsu Peoples R China

ISBN: (纸本)9783038351993

A new synthesis method of fingertip detection based on single camera is proposed, which effectively reduces the amount of computation while not relying on hardware performance too much. It provides portability as well because single camera is easy to get in contemporary devices, such as mobile phone. The main idea is to use the curvature of fingertip as a feature to distinguish the tip-part of finger in tracing the motion of hand. The camshift algorithm is used to track the whole hand to diminish the detective region. The skin-color extraction method is used as an auxiliary part to enhance the ability of discriminating hand from background, which also helps to weaken the interferences produced by brightness of hand surface. Finally a serial frames is used to examine the performance of the new method. With the tracking part and the fingertip recognition part being tested respectively, the result indicates the performance clearly.

关键词： fingertip detection skin color extraction camshift tracking algorithm

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