Optimization method of visual target tracking method based on particle filtering and optical flow vector

An optical flow vector and target tracking technology, which is applied in the optimization field of video target tracking methods, can solve problems such as low tracking efficiency and affect the scope of application, and achieve the effect of improving computing speed, improving efficiency, and meeting the requirements of real-time performance.

Inactive Publication Date: 2010-12-22
CHINA DIGITAL VIDEO BEIJING
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Problems solved by technology

Since the above method involves a large amount of calculations, its tracking ef

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Embodiment Construction

[0015] The present invention will be described in detail below in conjunction with specific embodiments and accompanying drawings.

[0016] The core idea of ​​the present invention is: parallelize each algorithm involved in the video target tracking method based on particle filter and optical flow vector on multiple CPUs, run a thread on each CPU, and be responsible for processing a part of row data , to evenly distribute all row data to each CPU; when each thread completes its task, it sends an event to the thread synchronization manager to notify it, and when the thread synchronization manager obtains the time for all threads to complete the current task, Starts all threads starting subsequent task events.

[0017] Among them, the calculation-intensive algorithms include the algorithm for converting RGB images into grayscale images, the algorithm for finding pyramid blurred grayscale images, the algorithm for finding pyramid grayscale gradient images, and the algorithm for s...

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Abstract

The invention discloses an optimization method of a visual target tracking method based on particle filtering and optical flow vector, belonging to the technical field of image/video post-processing. The method comprises the following steps: performing the parallel computing of each huge computation algorithms involved in the visual target tracking method based on particle filtering and optical flow vector in multiple CPUs, running a thread on each CPU to process a part of line data, evenly distributing all the line data to each CPU; and sending an event report to a thread synchronization manager after completing the task of each thread, and starting all the threads by the thread synchronization manager, when all the threads complete the current task, to start the subsequent task event. By using the method of the invention, the efficiency of the visual target tracking method based on particle filtering and optical flow vector can be increased, and the requirement on the real-time of the tracking method can be satisfied.

Description

technical field [0001] The invention belongs to the technical field of image / video post-processing, and in particular relates to an optimization method of a video target tracking method based on particle filtering and optical flow vectors. Background technique [0002] In the patent application titled "A Video Target Tracking Method Based on Particle Filter and Optical Flow Vector" submitted by the applicant at the same time as the present invention, a method for tracking video targets is provided by combining particle filter and optical flow vector. The main steps of the method can be briefly described as follows: [0003] (1) Convert the image at time t into a grayscale image, perform Gaussian blur on the grayscale image, create an L-level Gaussian pyramid for the grayscale image after Gaussian blurring, and then calculate the grayscale of each level of Gaussian pyramid image in the x and y directions degree gradient. [0004] (2) For the M feature points of the image at...

Claims

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Application Information

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IPC IPC(8): G06T7/20G06T1/20
Inventor 郑鹏程刘铁华见良孙季川
Owner CHINA DIGITAL VIDEO BEIJING
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