Improved Real Time Target Tracking System Based on Cam-shift and Kalman Filtering Techniques

نویسندگان

چکیده

This paper presents an improved real time target tracking system based on Cam-Shift and advanced Kalman filter algorithms. The paper, proposes a simple low implementation cost scheme while keeping the high performance. Two degrees of freedom two hybrid stepper motors with their drive systems is fully designed implemented to improve accuracy low-cost. potential proposed algorithm lies in its ability accurately detect, track produce firing commands designated utilizing shelf embedded Microcontroller boards. A Universal Serial Port (USB) camera used integrated order detect maneuvering targets. series experiments for stationary moving objects are carried out testing efficiency. enables accurate performance static objects. Hence it provides object applications.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Real-time Moving Object Tracking System Using Cam- shift Algorithm

A real-time tracking system with the ability of tracking the moving target using cam-shift algorithm is designed. The basic technique of the stereo vision system is discussed. The architecture, the hardware component and the interface of the tracking system is analyzed. Two digital cameras are fit on the cradle head, and the electric pan/tilt/zoom controller has two independent degrees of freed...

متن کامل

Target Tracking Based on Mean Shift and KALMAN Filter with Kernel Histogram Filtering

Visual object tracking is required in many tasks such as video compression, surveillance, automated video analysis, etc. mean shift algorithm is one of popular methods to this task and has some advantages comparing to other tracking methods. This method would not be appropriate in the case of large target appearance changes and occlusion; therefore target model update could actually improve thi...

متن کامل

Research on Target Tracking Algorithm based on Improved Mean Shift and Kalman Filter

In this paper we discuss about a target tracking algorithm based on Mean Shift and Kalman Filter, which is suitable for high speed moving target tracking. The basic Mean Shift algorithm is described in this paper as well. Although basic Mean Shift algorithm can realize target tracking without arguments or searching all the areas effectively, it has shortcomings which can limit its effectiveness...

متن کامل

A New Target Tracking Scheme Based on Improved Mean Shift and Adaptive Kalman Filter

In this paper, a target tracking algorithm is proposed by combining the improved Mean Shift algorithm with the adaptive Kalman filter. For a selected moving object, frame difference and region growing methods are used to segment target and extract the dominant color. In the tracking process, the initial iterative position is obtained by adaptive Kalman filter in each frame. The tracking result ...

متن کامل

Combining Kalman Filtering and Mean Shift for Real Time Eye Tracking under Active IR Illumination

Most eye trackers based on active IR illumination require distinctive bright pupil effect to work well. However, due to a variety of factors such as eye closure, eye occlusion, and external illuminations interference, pupils are not bright enough for these methods to work well. This tends to significantly limit their scope of application. In this paper, we present a new real time eye tracking m...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of applied research and technology

سال: 2023

ISSN: ['2448-6736']

DOI: https://doi.org/10.22201/icat.24486736e.2023.21.2.1565