A parallel computing and fusion method for fast detection and tracking of visual targets based on multi-core DSP
A parallel computing, detection and tracking technology, applied in computing, image analysis, image enhancement, etc., can solve the problems of high real-time and accuracy requirements, large amount of calculation, fast target movement speed, etc., to speed up image processing , a large amount of calculation, and the effect of shortening the processing time
Active Publication Date: 2022-02-22
BEIHANG UNIV
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[0006] The technical solution of the present invention is to overcome the deficiencies of the prior art and provide a multi-core DSP-based fast detection and tracking parallel computing and fusion method for visual targets, which solves the problem of fast target movement speed, large amount of calculation, real-time performance and accuracy in complex scenes. sexually demanding questions
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[0038] The basic idea of the present invention is: through confidence calculation, the calculation results of Kalman filtering, target detection and target tracking are fused, multi-core DSP is used as the hardware processing platform, and the running speed is accelerated through multi-core task distribution, parallel computing, software pipeline and other means, Realize fast detection and tracking of visual targets.
[0039] The technical solutions of the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
[0040] Such as figure 1As shown, the multi-core DSP-based visual target fast detection and tracking parallel computing and fusion method of the present invention mainly includes the following steps:
[0041] Step 11: Aiming at the actual motion environment of the target, train a suitable Adaboost offline classifier as a detection operator to quickly lock the target.
[0042] Specifically i...
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The invention discloses a multi-core DSP-based parallel computing and fusion method for fast detection and tracking of visual targets, including: aiming at the complex environment of the visual target during high-speed movement, training an efficient offline classifier to quickly detect and lock the target; locking the target Finally, the kernel correlation filter tracking algorithm is used to achieve high-speed target tracking; through the judgment of Kalman filter prediction and confidence comparison strategy, the Kalman filter operator, detection operator and tracking operator are effectively fused to form a multi-core tracking algorithm; The high-frequency multi-core DSP suitable for parallel computing of image data is used as the embedded program transplantation carrier, and different operators are assigned to the multi-core of the DSP according to tasks; multi-core parallel computing technology and software pipeline technology are used to speed up image processing. The present invention is applicable to airborne and vehicle-mounted embedded processing devices for rapid detection and tracking of visual targets, and is especially suitable for occasions in complex scenes where the moving speed of the target is fast, the amount of calculation is large, and real-time performance and accuracy are high.
Description
technical field [0001] The invention relates to an embedded visual tracking technology, in particular to a multi-core DSP-based fast detection and tracking parallel computing and fusion method for visual targets. Background technique [0002] Embedded visual tracking is the application of digital image vision technology in the embedded field, including machine vision, computer vision, video signal processing, pattern recognition, embedded applications and other disciplines, intelligent tracking or positioning equipment, medical diagnostic equipment, Industrial automation equipment, etc. are increasingly dependent on this technology. In recent years, new algorithms have been emerging in visual object tracking. Accurate tracking often means a large amount of calculation. However, due to the contradiction between the calculation amount of the algorithm and the processing speed of the hardware platform, the two Key Performance Indicators: The balance between real-time and accur...
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IPC IPC(8): G06T7/246G06T7/277
CPCG06T7/248G06T7/277G06T2207/10016
Inventor 张广军高扬刘震杨守波张靖毓石博文
Owner BEIHANG UNIV