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2nd IEEE International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN)

作者： Chatterjee, Debmalya Chandran, Saravanan Natl Inst Technol Durgapur India

ISBN: (纸本)9781509010479

Face detection and tracking is one of the emerging research areas in the image analysis and computer vision systems. This face detection and tracking helps local security forces to investigate crime incidents. This paper describes a face tracking framework that is capable of tracking a face in real time rapidly frame by frame. camshift algorithm and KLT algorithm implemented and a comparison study between these two algorithms has been described in this paper. A real time video is experimented using these two algorithms for face detection and tracking. The experimental results show that the KLT algorithm performance is better than the camshift algorithm in detecting the face and tracking the face. In this article it has been shown how the KLT algorithm proved to be better tracking algorithm than camshift algorithm.

关键词： Face detection Real-time Human-computer interaction Viola-Jones algorithm camshift algorithm KLT algorithm

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Target Tracking Based on the Improved camshift Method 28

Target Tracking Based on the Improved Camshift Method

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28th Chinese Control and Decision Conference

作者： Xiu, Chunbo Ba, Fushan Tianjin Polytech Univ Sch Elect Engn & Automat Tianjin 300387 Peoples R China Tianjin Polytech Univ Key Lab Adv Elect Engn & Energy Technol Tianjin 300387 Peoples R China

ISBN: (纸本)9781467397148

In target tracking, the complex background often has a negative effect on the tracking quality. The feature extraction of the moving target can be extracted in order to suppress the interference caused by background tracking. An improved camshift tracking method is proposed in this paper, a gauss weight function is chosen to select the target area that is called the region of interest and intercept the region of interest from the background, the back projection map of the target area is tracked independently, thus eliminating the interference of the background to the object. The proposed method is compared with the traditional camshift algorithm and the camshift algorithm based on multi feature fusion, the experimental results show that the proposed camshift algorithm based on multi feature fusion has higher accuracy and stability compared with the traditional camshift tracking algorithm. It overcomes the problem of interference caused by the complex background in the target tracking. It has high practicability and meets the requirement of real-time.

关键词： Histogram Target Tracking Hue camshift algorithm

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Automatic Face Detection and Tracking Based on Adaboost with camshift algorithm

Automatic Face Detection and Tracking Based on Adaboost with...

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International Conference on Graphic and Image Processing (ICGIP)

作者： Lin, Hui Long, JianFeng Hunan Univ Coll Elect & Informat Engn Changsha 410082 Hunan Peoples R China

ISBN: (纸本)9780819489326

With the development of information technology, video surveillance is widely used in security monitoring and identity recognition. For most of pure face tracking algorithms are hard to specify the initial location and scale of face automatically, this paper proposes a fast and robust method to detect and track face by combining adaboost with camshift algorithm. At first, the location and scale of face is specified by adaboost algorithm based on Haar-like features and it will be conveyed to the initial search window automatically. Then, we apply camshift algorithm to track face. The experimental results based on OpenCV software yield good results, even in some special circumstances, such as light changing and face rapid movement. Besides, by drawing out the tracking trajectory of face movement, some abnormal behavior events can be analyzed.

关键词： Video surveillance adaboost algorithm camshift algorithm OpenCV face detection and tracking

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A Vision System for Multi-Rotor Aircraft to Track Moving Object 7

A Vision System for Multi-Rotor Aircraft to Track Moving Obj...

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IEEE Chinese Guidance, Navigation and Control Conference (CGNCC)

作者： Zhang, Tianyi Yang, Zhong Zhang, Xiang Shen, Yangyang Nanjing Univ Aeronaut & Astronaut Coll Automat Engn Nanjing 211106 Jiangsu Peoples R China

ISBN: (纸本)9781467383189

This paper presents a vision method for a multi-rotor Unmanned Aerial Vehicle (UAV) to track a moving object using combined algorithm of camshift and Kalman predictor. Because of the real-time performance demanded by the control system, vision algorithm should calculate navigation data quickly. camshift is a tracking algorithm based on histogram matching and color probability distribution, which has a lot of advantages such as strong adaptability and precise tracking accuracy. However, the center of tracking box generated by camshift algorithm cannot remain stable because of inevitable noise due to the change of light and camera shaking. Thusly, Kalman predictor is implemented to erase this noise as well as predict the position of moving object when it is temporarily lost by UAV. Experimental results show that through this method, UAV can continuously tracking a moving vehicle under different background environment even object is temporarily occluded or lost by UAV.

关键词： Real-time Tracking Kalman predictor camshift algorithm

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Research of Indoor Mobile Biological Air Purifier Pedestrian Tracking System 28

Research of Indoor Mobile Biological Air Purifier Pedestrian...

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第28届中国控制与决策会议

作者： Liang Fan Chen hongdou Dai Fenghui Cui Shigang Wang Tianpeng Zhang Jingxue Tianjin Key Laboratory of Information Sensing and Intelligent Control Tianjin University of Technology and Education

ISBN: (纸本)9781467397155

With the progress of modern society and the environment pollution pricking up,people's requirement of quality of life is increasingly *** biological air purifier can track pedestrians,adsorb and decompose or transform various air pollutants around pedestrian environment,improve air quality,has energy saving,environmental protection and beauty,give full play to the purifying effect,has a strong *** the paper,according to the three-dimensional measurement principle of binocular vision,tracking system has been established,which has adopted Harr + Adaboost algorithm with camshift algorithm to realize detection and tracking of pedestrian and mobile biological air purifier filter respectively,and adopted the Kalman filter to predict the next position to improve the effect of purifier detection and *** experimental results show that the system can realize mobile biological air purifier tracking pedestrians accurately,in real time,under the target occlusion,fast moving,and so on.

关键词： Mobile biological air purifier Haar + Adaboost algorithm camshift algorithm Kalman filter

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Pedestrian Tracking based on camshift with Kalman Prediction for Autonomous Vehicles

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INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS 2016年第3期13卷 120-120页

作者： Guo, Lie Li, Linhui Zhao, Yibing Zhao, Zongyan Dalian Univ Technol Dalian Peoples R China

Pedestrian detection and tracking is the key to autonomous vehicle navigation systems avoiding potentially dangerous situations. Firstly, the probability distribution of colour information is established after a pedestrian is located in an image. Then the detected results are utilized to initialize a Kalman filter to predict the possible position of the pedestrian centroid in the future frame. A camshift tracking algorithm is used to track the pedestrian in the specific search window of the next frame based on the prediction results. The actual position of the pedestrian centroid is output from the camshift tracking algorithm to update the gain and error covariance matrix of the Kalman filter. Experimental results in real traffic situations show the proposed pedestrian tracking algorithm can achieve good performance even when they are partly occluded in inconsistent illumination circumstances.

关键词： Autonomous Vehicles Pedestrian Tracking Kalman Filter camshift algorithm Colour Probability Distribution

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Implementation of Tracking of a Moving Object Based on camshift Approach with a UAV

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Procedia Technology 2016年 22卷 556-561页

作者： Musab Coşkun Sencer Ünal Electrical Electronic Engineering Fırat University Elazığ 23200 Turkey

In this paper, a report is presented on the findings of a study conducted on evaluating *** performance for computer vision applications. Object tracking is a challenging problem because of tracked object motion and its size changes in the scene, illumination changes and egomotion. An approach that is able to cope with those problems using an unmanned air vehicle was applied. Unmanned air vehicle has been an increasing field of research in both civilian and military applications. Among its different models, quadrotors have advantages such as high maneuverability and moving in three directions. The unmanned air vehicle used in this paper is ***. The application is implemented using version 2.4.9 of OpenCV library with C programming language in Visual Studio 2010 environment and is capable of tracking moving objects by using the front camera of *** with resolution of 640x360 and at a frame rate of 30 fps. Object tracking process is carried on independently from the distance between *** and the tracked object. Experimental results testify that object tracking is carried out successfully with *** which is a mobile platform despite of change in object's size in the scene and of illumination.

关键词： moving object tracking camshift algorithm unmanned air vehicle

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Target Tracking Based on the Improved camshift Method

Target Tracking Based on the Improved Camshift Method

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第28届中国控制与决策会议

作者： Chunbo Xiu Fushan Ba School of Electrical Engineering and Automation Tianjin Polytechnic University Key Laboratory of Advanced Electrical Engineering and Energy Technology Tianjin Polytechnic University

ISBN: (纸本)9781467397155

In target tracking,the complex background often has a negative effect on the tracking *** feature extraction of the moving target can be extracted in order to suppress the interference caused by background *** improved camshift tracking method is proposed in this paper,a gauss weight function is chosen to select the target area that is called the region of interest and intercept the region of interest from the background,the back projection map of the target area is tracked independently,thus eliminating the interference of the background to the *** proposed method is compared with the traditional camshift algorithm and the camshift algorithm based on multi feature fusion,the experimental results show that the proposed camshift algorithm based on multi feature fusion has higher accuracy and stability compared with the traditional camshift tracking *** overcomes the problem of interference caused by the complex background in the target *** has high practicability and meets the requirement of real-time.

关键词： Histogram Target Tracking Hue camshift algorithm

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A Video Structural Event Description Model for Traffic Surveillance System

A Video Structural Event Description Model for Traffic Surve...

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2016 4th International Conference on Advanced Materials and Information Technology Processing(AMITP 2016)

作者： Lei Xu Jianxin Song Nanjing University of Posts and Telecommunications

The traditional video event detection only identifies a single event for one model and needs to extract features manually to train a mathematical model. In order to automatically extract features of objects and detect various potential accidents in the video surveillance, a structural analysis based approach to detect traffic events is proposed. In the surveillance video, a structural model is used in this way to collect information of the moving targets and the background things, including objects, attributes, temporal relationships and spatial relationships. To further detect the hidden accidents of traffic video, those above five elements are used to make arithmetical logic expression. It can be adapted for different scenarios easily. The experimental results demonstrate that the approach proposed can detect multiple traffic events in surveillance effectively.

关键词： video structural analysis event description event detection camshift algorithm

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A Vision System for Multi-Rotor Aircraft to Track Moving Object

A Vision System for Multi-Rotor Aircraft to Track Moving Obj...

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2016 IEEE Chinese Guidance, Navigation and Control Conference (IEEE CGNCC2016)

作者： Tianyi Zhang Zhong Yang Xiang Zhang Yangyang Shen College of Automation Engineering Nanjing University of Aeronautics and Astronautics

ISBN: (纸本)9781467383196

This paper presents a vision method for a multi-rotor Unmanned Aerial Vehicle(UAV) to track a moving object using combined algorithm of camshift and Kalman *** of the real-time performance demanded by the control system,vision algorithm should calculate navigation data *** is a tracking algorithm based on histogram matching and color probability distribution,which has a lot of advantages such as strong adaptability and precise tracking ***,the center of tracking box generated by camshift algorithm cannot remain stable because of inevitable noise due to the change of light and camera ***,Kalman predictor is implemented to erase this noise as well as predict the position of moving object when it is temporarily lost by *** results show that through this method,UAV can continuously tracking a moving vehicle under different background environment even object is temporarily occluded or lost by UAV.

关键词： Real-time Tracking Kalman predictor camshift algorithm

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