Research on Key Techniques of Multi-Sensor Intelligent Video Surveillance System

2014 ◽  
Vol 599-601 ◽  
pp. 1040-1043
Author(s):  
Hong Qi Wu ◽  
Xiao Bin Li ◽  
Zhan Jun Yuan ◽  
Jin Wang
Keyword(s):  
Video Monitoring ◽  
Moving Target ◽  
Frame Difference ◽  
Control Signals ◽  
Control Schemes ◽  
Intelligent Video Surveillance System ◽  
Dynamic Target ◽  
Real Time Tracking ◽  
Key Techniques ◽  
Target Center

In order to improve the traceability and the tracking precision of fast moving targets on its own, a intelligent video monitoring solution is proposed. Sound source localization technology was adopted to realize quick positioning for dynamic target. Three-frame-difference method was given to detect the moving object , then the obtained target center parameters were used as the control signals of PTZ control system to drive the camera to trace the moving target for real-time tracking and monitoring. Experiments and simulations show that the control schemes can completely satisfy the requirement of monitoring.

Variable Background Frame Difference Technology Research

2014 ◽  
Vol 556-562 ◽  
pp. 4742-4745
Author(s):  
Ju Bao Qu
Keyword(s):  
Target Detection ◽  
Difference Method ◽  
High Speed ◽  
Moving Objects ◽  
Moving Target ◽  
Technology Research ◽  
Complex Environment ◽  
Frame Difference ◽  
Speed Change ◽  
Real Time Tracking

When the target and background in the high speed change, moving target detection. The traditional easily lost, not accurate. This paper presents a variable background frame difference method, and makes use of the MeanShift tracking algorithm simulation application. The method can detect moving objects in complex environment, and real-time tracking, can quickly and accurately detect and track when the background and target are scale, rotation, no rules of large displacement changes.

A Real Time Tracking Algorithm Basing on Mixed Difference Algorithm

2010 ◽  
Vol 108-111 ◽  
pp. 291-296
Author(s):  
Ai Xia Wang ◽  
Peng Wu ◽  
Jing Jiao Li ◽  
Ai Yun Yan
Keyword(s):  
Real Time ◽  
Tracking Algorithm ◽  
Moving Target ◽  
Dynamic Background ◽  
Filtering Algorithm ◽  
Frame Difference ◽  
Isolated Points ◽  
Real Time Tracking ◽  
Tracking Object ◽  
Background Difference

This paper presented a high real time target tracking algorithm – mixed difference tracking algorithm MDT. In the proposed algorithm, frame difference and background difference algorithms are combined to get the location of the target. With background difference algorithm the shape of the target can be extracted. Due to the affection of the dynamic background, single background difference algorithm can not get the location of the moving target. To solve this issue the frame difference algorithm is used to estimate the location, and then combine the results of the background difference algorithm and the frame difference algorithm the location and the size of the target can be extracted. And then filtering algorithm is used to remove noise and isolated points. In the experiment it can be seen that the proposed algorithm can tracking object precisely in real time.

Ground-Constrained Motion Target Tracking for Monocular Sequence Images

2018 ◽  
Vol 32 (12) ◽  
pp. 1850044 ◽  
Author(s):  
Ling Guo
Keyword(s):  
Background Subtraction ◽  
Target Position ◽  
Video Monitoring ◽  
Moving Target ◽  
Constrained Motion ◽  
Otsu Method ◽  
Test Platform ◽  
Monitoring Test ◽  
Nonlinear Compensation ◽  
Nonlinear Imaging

For the detection of a moving target position in video monitoring images, the existing locating tracking systems mainly adopt binocular or structured light stereoscopic technology, which has drawbacks such as system design complexity and slow detection speed. In light of these limitations, a tracking method for monocular sequence moving targets is presented, with the introduction of ground constraints into monocular visual monitoring; the principle and process of the method are introduced in detail in this paper. This method uses camera installation information and geometric imaging principles combined with nonlinear compensation to derive the calculation formula for the actual position of the ground moving target in monocular asymmetric nonlinear imaging. The footprint location of a walker is searched in the sequence imaging of a monitoring test platform that is built indoors. Because of the shadow of the walker in the image, the multi-threshold OTSU method based on test target background subtraction is used here to segment the images. The experimental results verify the effectiveness of the proposed method.

scholarly journals Dynamic target template matching for railway catenary suspension motion detection in wind area

2018 ◽  
Vol 14 (9) ◽  
pp. 155014771879795 ◽  
Author(s):  
Wei Zhou ◽  
Heting Xiao ◽  
Zhonggang Wang ◽  
Lin Chen ◽  
Shaoqing Fu
Keyword(s):  
Template Matching ◽  
Three Dimensional ◽  
Moving Target ◽  
Maximum Relative Error ◽  
Gradual Change ◽  
Matching Method ◽  
Safety Research ◽  
Target Template ◽  
Target Templates ◽  
Dynamic Target

A dynamic target template matching method was proposed to identify railway catenary suspension movements of wind-induced vibration in wind area. Catenary positioning point was taken as the target template, which was compared with equal-sized image sequentially using the proposed matching difference. And, three-dimensional contour map of matching difference value at each sub-area was obtained, where the target pixel coordinates were determined by the minimum matching difference value. Considering the complex imaging condition, the target template was updated by the detected target image to sense the gradual change of illumination conditions like brightness and contrast. Furthermore, to eliminate detecting errors due to wind-induced camera vibration, both static and moving target templates were identified for acquiring the absolute motion of the moving target. Finally, validation test was performed with animation in PowerPoint. The calculated target displacement agrees well with theoretical motion with maximum relative error of 1.8%. And experiment application was conducted at site by analyzing the relationship between detecting displacement and wind speed. Results indicate that the proposed dynamic target template matching method can meet required engineering precision and provide an effective way for wind-vibration safety research of railway catenary system in wind area.

Design on Intelligent Video Surveillance System Based on Target Identification Algorithm

2015 ◽  
Vol 713-715 ◽  
pp. 460-465 ◽  
Author(s):  
Zong Jie Meng ◽  
Cai Jie
Keyword(s):  
Video Surveillance ◽  
Motion Detection ◽  
Target Identification ◽  
Identification Algorithm ◽  
Accuracy Rate ◽  
Intelligent Video Surveillance ◽  
Frame Difference ◽  
Adjacent Frame ◽  
Intelligent Video Surveillance System ◽  
Hardware Realization

This paper makes study on the adjacent frame difference and algorithm realization of SOM i8dentification after improvement, of which it includes motion detection, target identification; the realized video surveillance module makes up the intelligent video surveillance that can reconstruct platform. Motion detection module adopts algorithm of adjacent frame difference after improvement, which can correctly mark the motion object. Target identification module adopts self-mapping nerve net after improvement, it is easier for hardware realization, and meanwhile the accuracy rate of identification is equal to classical algorithm.

scholarly journals Real-time tracking of a moving target in an indoor corridor of the hospital building using RSSI signals received from two reference nodes

2022 ◽  
Author(s):  
Apidet Booranawong ◽  
Peeradon Thammachote ◽  
Yoschanin Sasiwat ◽  
Jutamanee Auysakul ◽  
Kiattisak Sengchuai ◽  
...  
Keyword(s):  
Real Time ◽  
Moving Target ◽  
Hospital Building ◽  
Real Time Tracking

scholarly journals A ground moving target emergency tracking method for catastrophe rescue

2014 ◽  
Vol XL-2 ◽  
pp. 121-125 ◽  
Author(s):  
X. Zhou ◽  
D. Li ◽  
G. Li
Keyword(s):  
Real Time ◽  
Handheld Devices ◽  
Prototype System ◽  
Moving Target ◽  
Short Message ◽  
Tracking Method ◽  
The Real ◽  
Living Region ◽  
Real Time Tracking ◽  
The Government

In recent years, great disasters happen now and then. Disaster management test the emergency operation ability of the government and society all over the world. Immediately after the occurrence of a great disaster (e.g., earthquake), a massive nationwide rescue and relief operation need to be kicked off instantly. In order to improve the organizations efficiency of the emergency rescue, the organizers need to take charge of the information of the rescuer teams, including the real time location, the equipment with the team, the technical skills of the rescuers, and so on. One of the key factors for the success of emergency operations is the real time location of the rescuers dynamically. Real time tracking methods are used to track the professional rescuer teams now. But volunteers’ participation play more and more important roles in great disasters. However, real time tracking of the volunteers will cause many problems, e.g., privacy leakage, expensive data consumption, etc. These problems may reduce the enthusiasm of volunteers’ participation for catastrophe rescue. In fact, the great disaster is just small probability event, it is not necessary to track the volunteers (even rescuer teams) every time every day. In order to solve this problem, a ground moving target emergency tracking method for catastrophe rescue is presented in this paper. In this method, the handheld devices using GPS technology to provide the location of the users, e.g., smart phone, is used as the positioning equipment; an emergency tracking information database including the ID of the ground moving target (including the rescuer teams and volunteers), the communication number of the handheld devices with the moving target, and the usually living region, etc., is built in advance by registration; when catastrophe happens, the ground moving targets that living close to the disaster area will be filtered by the usually living region; then the activation short message will be sent to the selected ground moving target through the communication number of the handheld devices. The handheld devices receive and identify the activation short message, and send the current location information to the server. Therefore, the emergency tracking mode is triggered. The real time location of the filtered target can be shown on the organizer’s screen, and the organizer can assign the rescue tasks to the rescuer teams and volunteers based on their real time location. The ground moving target emergency tracking prototype system is implemented using Oracle 11g, Visual Studio 2010 C#, Android, SMS Modem, and Google Maps API.

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