Development of a dynamic intelligent recognition system for a real-time tracking robot

Abstract

<p>Nowadays, the development of computer vision technology help to overcome track and identify humans within a location in the complex environment through mobile robots, which gives the motivation to presents a vision-based approach to a mobile security robot. The proposed system utilizes a wireless camera to detect the objects in the field of robot view. Principle component analysis (PCA) algorithm and filters are used to implement and demonstrate the process of the images. This gives the designed system the ability to recognize objects independently from current light conditions. Frame tracking in the images uses an attention system to get an estimate of the position of a person. This estimate helps the applied camera to identify objects with changing background lighting conditions such as a fire inside a building. By using this estimate, the applied camera could identify objects with changing background lighting conditions such as a fire inside premises. The system has been tested using the MATLAB environment, and the empirical performance explains the efficiency and strongness of the suggested device.</p>

Clustering similar time series data for the prediction the patients with heart disease

“…In second step, the technique of clustering is used to recognize the similar sliding windows. The clustering similar method is based on euclidean distance aim to recognize the similar sliding windows which are really close in distance of space [28], [29]. Finally, the clustering similar sliding windows are dealt as training samples of LS-SVM classifier in order to make a binary recommendation in regards to the specific condition of patient.…”

Bioinspired Perception and Navigation of Service Robots in Indoor Environments: A Review

“…More precisely, Table 1 lists the vision-based approaches with their contributions, sensors, and real-time performance, and the most popular method is the optic flow, which is used by bees. The vision-based applications include transport [ 9 , 18 , 39 , 46 , 50 , 60 ], exploration [ 8 , 19 , 24 , 26 , 40 , 41 , 45 , 49 ], tracking and assist [ 31 , 56 , 58 ], security and surveillance [ 7 , 52 ], homing and searching [ 5 , 54 , 55 ], floor cleaning [ 6 , 43 ], and search and rescue [ 44 ]. Only 43.75% of the cited papers indicate they can operate in real time, which is achieved by processing or computation speed, minimal computation load, or predefined parameters.…”

“…It controlled the binocular coordination of camera movements to offer real-world operation and allow an exploration of the environment. Salih et al [ 52 ] developed a vision-based approach for security robots with wireless cameras, and the approach used a principal component analysis algorithm for image processing, a particle filter for images, and a contour model. The system could recognize objects independently in all light conditions for frame tracking.…”

Simulation of autonomous navigation of turtlebot robot system based on robot operating system

“…The field of robotics is an area that has seen a significant increase in the number of research carried out in the last few decades [1], [2]. Numerous software components are shared by most robots, making collaboration crucial.…”