Target Recognition Application of Real-Time Optical Information Processing System

2014 ◽  
Vol 536-537 ◽  
pp. 197-200
Author(s):  
Lan Zhao ◽  
Tao Zeng
Keyword(s):  
Information Processing ◽  
Visual Tracking ◽  
Target Recognition ◽  
Tracking System ◽  
Processing System ◽  
Tracking Algorithm ◽  
Optical Information ◽  
Illumination Changes ◽  
Imaging Surveillance ◽  
Template Tracking

This paper focuses on the visual tracking algorithm in optical imaging surveillance and tracking system. The tracking particle filter framework deemed find sparse representation problem, can effectively overcome the visual tracking algorithm appears in noise, occlusion, background interference and complex situations such as illumination changes. Morphological methods using digital occlusion area is detected to determine whether the date is added to the template tracking results set, thereby updating the control template, to effectively prevent the drift tracking results.

Design of STM32-Based Angle Information Processing System of a Guide Microscope

2013 ◽  
Vol 347-350 ◽  
pp. 1378-1382
Author(s):  
Bin Qian Cao ◽  
Yuan Zeng Cheng ◽  
Shu Ying Sun
Keyword(s):  
Information Processing ◽  
Information Acquisition ◽  
High Performance ◽  
Tracking System ◽  
Processing System ◽  
Simple Circuit ◽  
Information Processing System ◽  
Software Debugging ◽  
Reliable Performance ◽  
Application Requirements

A guide microscope is an important part of a certain photoelectric automatic tracking system, and the angle informations acquisition, processing and transmission are the keys for using the guide microscope. According to the application requirements, a kind of angle information processing system of the guide microscope based on STM32 is designed. This system uses the high-performance STM32F103 as the control core and realizes the angle information acquisition, display and transmission by photoelectric encoders, OLED display and RS-485 bus. Then, the hardware design and software debugging are further explained, that it has the simple circuit and convenient development. The running results show the design has the stable and reliable performance. It can meet the requirements.

Visual tracking of a moving person for a home robot

2005 ◽  
Vol 219 (4) ◽  
pp. 259-269 ◽  
Author(s):  
Kai-Tai Song ◽  
Chen-Chu Chlen
Keyword(s):  
Visual Tracking ◽  
Tracking System ◽  
Processing System ◽  
Digital Signal ◽  
Complementary Metal Oxide Semiconductor ◽  
Oxide Semiconductor ◽  
Human Face ◽  
Web Camera ◽  
Robot Head ◽  
Home Robot

This paper presents a visual tracking system for a home robot to pursue a person. The system works by detecting a human face and tracking a person via controlling a two-degree-of-freedom robot head and the robot body. An image processing system has been developed to extract facial features using a complementary metal-oxide semiconductor (CMOS) web camera. An algorithm is proposed to recognize a human face by using skin colour and elliptical edge information of a human face. A digital signal processing (DSP)-based motor control card is designed and implemented for robot motion control. The visual tracking control system has been integrated on a self-constructed prototype home robot. Experimental results show that the robot tracks a person in real-time.

scholarly journals Study on the Moving Target Tracking Based on Vision DSP

Sensors ◽  
2020 ◽  
Vol 20 (22) ◽  
pp. 6494
Author(s):  
Xuan Gong ◽  
Zichun Le ◽  
Hui Wang ◽  
Yukun Wu
Keyword(s):  
Real Time ◽  
Visual Tracking ◽  
Tracking System ◽  
Direct Memory Access ◽  
Optimization Techniques ◽  
Tracking Algorithm ◽  
Scale Transformation ◽  
Time Performance ◽  
System Resources ◽  
The Impact

The embedded visual tracking system has higher requirements for real-time performance and system resources, and this is a challenge for visual tracking systems with available hardware resources. The major focus of this study is evaluating the results of hardware optimization methods. These optimization techniques provide efficient utilization based on limited hardware resources. This paper also uses a pragmatic approach to investigate the real-time performance effect by implementing and optimizing a kernel correlation filter (KCF) tracking algorithm based on a vision digital signal processor (vision DSP). We examine and analyze the impact factors of the tracking system, which include DP (data parallelism), IP (instruction parallelism), and the characteristics of parallel processing of the DSP core and iDMA (integrated direct memory access). Moreover, we utilize a time-sharing strategy to increase the system runtime speed. These research results are also applicable to other machine vision algorithms. In addition, we introduced a scale filter to overcome the disadvantages of KCF for scale transformation. The experimental results demonstrate that the use of system resources and real-time tracking speed also satisfies the expected requirements, and the tracking algorithm with a scale filter can realize almost the same accuracy as the DSST (discriminative scale space tracking) algorithm under a vision DSP environment.

Optical information processing system for aiding the diagnosis of pulmonary embolism

1996 ◽  
Author(s):  
Natalie Clark ◽  
Narasimha S. Prasad ◽  
Michele R. Banish ◽  
Frederick L. Datz ◽  
Paul E. Christian
Keyword(s):  
Pulmonary Embolism ◽  
Information Processing ◽  
Processing System ◽  
Optical Information ◽  
Optical Information Processing ◽  
Information Processing System

scholarly journals Design and development of an on-board autonomous visual tracking system for unmanned aerial vehicles

Aviation ◽  
2017 ◽  
Vol 21 (3) ◽  
pp. 83-91 ◽  
Author(s):  
Narsimlu KEMSARAM ◽  
Venkata Rajini Kanth THATIPARTI ◽  
Devendra Rao GUNTUPALLI ◽  
Anil KUVVARAPU
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Visual Tracking ◽  
Tracking System ◽  
Tracking Algorithm ◽  
Control Law ◽  
State Estimator ◽  
Camera Control ◽  
Guidance Law ◽  
Aerial Vehicles ◽  
Multi Level

This paper proposes the design and development of an on-board autonomous visual tracking system (AVTS) for unmanned aerial vehicles (UAV). A prototype of the proposed system has been implemented in MATLAB/ Simulink for simulation purposes. The proposed system contains GPS/INS sensors, a gimbaled camera, a multi-level autonomous visual tracking algorithm, a ground stationary target (GST) or ground moving target (GMT) state estimator, a camera control algorithm, a UAV guidance algorithm, and an autopilot. The on-board multi-level autonomous visual tracking algorithm acquires the video frames from the on-board camera and calculates the GMT pixel position in the video frame. The on-board GMT state estimator receives the GMT pixel position from the multi-level autonomous visual tracking algorithm and estimates the current position and velocity of the GMT with respect to the UAV. The on-board non-linear UAV guidance law computes the UAV heading velocity rates and sends them to the autopilot to steer the UAV in the desired path. The on-board camera control law computes the control command and sends it to the camera's gimbal controller to keep the GMT in the camera's field of view. The UAV guidance law and camera control law have been integrated for continuous tracking of the GMT. The on-board autopilot is used for controlling the UAV trajectory. The simulation of the proposed system was tested with a flight simulator and the UAV's reaction to the GMT was observed. The simulated results prove that the proposed system tracks a GST or GMT effectively.

Information Processing Based on SQLite for Target Tracking System

2013 ◽  
Vol 278-280 ◽  
pp. 2065-2068
Author(s):  
Jun Lin Liu ◽  
Qi Yuan Sun
Keyword(s):  
Information Processing ◽  
Visual Information ◽  
System Analysis ◽  
Tracking System ◽  
Processing System ◽  
Analysis Data ◽  
Visual Surveillance ◽  
Hardware Platform ◽  
Data Objects ◽  
Sqlite Database

As for the digital visual surveillance system, the traditional database and hardware platform can not be good at processing vast quantities of information. Combined with ActiveX Data Objects (ADO) technology, the information processing system was built by using SQLite database with embedded dual-core platform. The embedded database SQLite is implanted in the existing embedded hardware platform DM6446. And processing modules and operating interface were designed based on SQLite and the embedded hardware platform. The designed system can play a role as the core of data processing. The experiments show that the system can meet the requirements of the visual information processing such as data mining, online system analysis, data post-processing and so on.

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