Moving target tracking and measurement with a binocular vision system
Source: International Journal of Computer Applications in Technology, Volume 39, Numbers 1-3, 18 August 2010 , pp. 145-152(8)
Publisher: Inderscience Publishers
Abstract:Visual tracking and measurement is one of the most important tasks in computer vision and finds applications in traffic surveillance, vision‐guided mobile robots, etc. In this paper, a binocular vision system is used to achieve the visual servoing, mimicking the movements of human eyes. First, a robust scheme, which combines adaptive Background Subtraction (BS) and Camshift algorithms, is proposed to detect and track a moving object. Then, we discuss the problems of camera parameter calibration and position measurement of moving objects. A new approach is introduced to realise the extrinsic parameter calibration of a pan‐tilt camera, providing successful tracking and accurate measurement of a moving target, even as it is outside the view of the camera. Numerous experiments have been done on the binocular vision system of a humanoid mobile platform, and the results show that the proposed approaches work very well.
Document Type: Research Article
Affiliations: 1: Institute of Information Science, School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China. 2: The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
Publication date: August 18, 2010
- The International Journal of Computer Applications in Technology addresses issues of computer applications, information and communication systems, software engineering and management, CAD/CAM/CAE, numerical analysis and simulations, finite element methods and analyses, robotics, computer applications in multimedia and new technologies, computer aided learning and training.