- ROS Robotics Projects
- Lentin Joseph
- 174字
- 2021-04-02 20:29:09
Chapter 2. Face Detection and Tracking Using ROS, OpenCV and Dynamixel Servos
One of the capabilities of most service and social robots is face detection and tracking. These robots can identify faces and can move their heads according to the human face that moves around it. There are numerous implementations of face detection and tracking systems on the Web. Most trackers have a pan-and-tilt mechanism, and a camera is mounted on the top of the servos. In this chapter, we will see a simple tracker that only has a pan mechanism. We are going to use a USB webcam mounted on an AX-12 Dynamixel servo. The controlling of Dynamixel servo and image processing are done in ROS.
The following topics will be covered in this chapter:
- An overview of the project
- Hardware and software prerequisites
- Configuring Dynamixel AX-12 servos
- The connection diagram of the project
- Interfacing Dynamixel with ROS
- Creating ROS packages for a face tracker and controller
- The ROS-OpenCV interface
- Implementing a face tracker and face tracker controller
- The final run
推薦閱讀
- Facebook Application Development with Graph API Cookbook
- OpenDaylight Cookbook
- 大學計算機基礎實驗教程
- 趣學Python算法100例
- PHP+MySQL網站開發技術項目式教程（第2版）
- Swift 3 New Features
- Reactive Programming With Java 9
- PhpStorm Cookbook
- Serverless架構
- Scala編程實戰（原書第2版）
- Kotlin編程實戰：創建優雅、富于表現力和高性能的JVM與Android應用程序
- 數據科學中的實用統計學（第2版）
- Android高級開發實戰：UI、NDK與安全
- C語言從入門到精通（微視頻精編版）
- HTML 5與CSS 3權威指南（第4版·下冊）