Target detection and tracking method based on DSP and digital image processing system

Abstract

The invention relates to target detection and tracking of digital images, providing a quick target detection and tracking method which is based on DSP and is easy to realize, as well as a digital image processing system for realizing the method. The method comprises the following steps: according to the Y component of an image, extracting an image edge to determine a target window; according to the Y component, the U component and the V component of the target window, extracting the characteristic value of the target window; and calculating the probability of the characteristic value of the target window in an initial frame and the probability of the characteristic value of the target window in a prediction frame, thus obtaining the pixel coordinate of the target window in the optimal prediction frame by matching the probability of the characteristic value of the target window in an initial frame with the probability of the characteristic value of the target window in a prediction frame. YUV space has favorable clustering characteristics; image information output by a DSP video acquisition module does not need format conversion; YUV space is adopted to carry out target tracking of Mean shift to ensure more accurate result and lower operation complexity.

Description

technical field [0001] The invention relates to DSP (digital signal processing) technology, in particular to digital image target detection and tracking. Background technique [0002] Object detection and tracking is an important and fundamental task in various applications in the fields of digital video processing and computer vision. Some of the more popular application areas, autonomous vehicle navigation, robot control, motion-based recognition, video compression, vision-based control, human-machine interface, medical imaging, augmented reality, and video scene monitoring all require image target detection and tracking technology . Although object detection and tracking techniques have been studied for more than a decade in computer vision, it is still an active research area. Currently there is no general, accurate, high-performance and real-time target detection and tracking algorithm. [0003] When the mean shift algorithm was first proposed, it refers to an iterat...

AI Technical Summary

Problems solved by technology

In this scheme, the weighted color histogram of the elliptical image area near the target position is used to represent the target, which undoubtedly increases the complexity of the algorithm, and since the output information of the DSP video acquisition module is a YUV image, the image needs to be converted to RGB color space first

The conversion from YUV to RGB format also increases the complexity of the implementation of the scheme

Images