Research of moving objects detection and tracking
ABSTRACT
This paper use intelligent camera Kinect to gain real-time acquisition simulation code flow image, by the internal configuration of efficient A\D conversion device will be the information
data is converted to a digital information data, the USB interface transfer to PC machine, through the OpenCV visual algorithm, carries on the collected frame image pretreatment, edge detection, segmentation foreground object and background objects, extracting motion objects outline, detect moving objects state, and accurate tracking; Finally, this paper based on this, the introduction of the 2-D image data of 3-D reconstruction, by Kinect equipped with infrared camera, binocular vision recognition, using Bouquet correction method carry on the correction, the correction of extraction after about two images of moving object detection, and calculates the up and down, left and right sides, before and after the three dimensional data, and combined with OpenGL show 3-D scene, so as to realize the in 3-D space scene of moving objects detection.
This paper summarizes the domestic and foreign development present situation of the intelligent computer vision technology , a deep research on the computer vision technology, image processing technology, dynamic monitoring technology, 3-D reconstruction technology and other related material. Detailed description of dynamic object detection system which is the based on OpenCV algorithm, computer vision technology and its design scheme, working principles and binocular vision technology to realize 3-D concrete realization process.
From the experimental results it can be seen that OpenCV algorithm based on dynamic object detection and tracking system can accurate recognition and tracking of moving object its movement. Combined with OpenGL 3-D display also completed the describe the function of three dimensional space.
Keywords: Kinect;Binocular vision system; Three dimensional reconstruction; OpenCV; OpenNI; OpenGL; computer vision