Abstract
As the present computer vision technology is growing up, and the multiple RGB color object tracking is considered as one of the important tasks in computer vision and technique that can be used in many applications such as surveillance in a factory production line, event organization, flow control application, analysis and sort by colors and etc. In video processing applications, variants of the background subtraction method are broadly used for the detection of moving objects in video sequences. The background subtraction is the most popular and common approach for motion detection. However , this is paper presents our investigation the first objective of the whole algorithm chain is to find the RGB color within a video. The idea from the beginning was to look for certain specific features of the patches, which would allow distinguishing red, green and blue color objects in the image. In this paper an algorithm is proposed to track the real time moving RGB color objects using kinect camera. We will use a kinect camera to capture the real time video and making an image frame from this video and extracting red, green and blue color .Here image processing is done through MATLAB for color recognition process each color. Our method can tracking accurately at 95% in real-time.
Highlights
In computer vision Color object detection and tracking is an important and fundamental topic
Vol 11, No 3; 2017 segmentation and fuzzy logic" This paper presents a novel method for people segmentation, they suggested a fuzzy-based approach for bringing together many inferred in image processing applications, The proposed method utilizes a fuzzy inference system
Commonly, In this paper, the algorithm has been developed for real time detection and tracking RGB color based on kinect .Tracking of the RGB colors is done on the basis of region properties such as centered, bounding box etc
Summary
In computer vision Color object detection and tracking is an important and fundamental topic. Color is a significant of information in image analysis classification. Kinect has been developed for Microsoft Kinect version tow console and includes cameras that deliver depth information, color data. Tracking RGB color can be defined as the problem of estimating the trajectory of an object in the image plane as it moves around a scene. As the Kinect is getting cheaper and people started using it in their applications, it is useful sometimes to use the RGB images generated from Kinect instead of the webcams, especially when your application is using depth information from Kinect. The increasing need for automated video analysis has generated a great deal of interest in object tracking algorithms. There are three key steps in video analysis, detection of interesting moving objects, tracking colors of such objects from frame to frame, and analysis of object tracks to recognize their behavior
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
