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A Target Tracking Method Based on Target Template Update

A technology of target template and target tracking, which is applied in the field of computer vision, can solve the problem of tracking target loss and achieve the effect of reducing tracking error

Active Publication Date: 2019-04-05
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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  • Summary
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Problems solved by technology

Since the color feature of the target is not sensitive to the change of object posture and the deformation of non-rigid objects, it has certain robustness in rotation and scale transformation, but when there is a high similarity between the target and the background color, it often leads to the loss of tracking targets.

Method used

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  • A Target Tracking Method Based on Target Template Update
  • A Target Tracking Method Based on Target Template Update
  • A Target Tracking Method Based on Target Template Update

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Embodiment Construction

[0038] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0039] Such as figure 1 As shown, a target tracking method based on target template update, the specific steps are as follows:

[0040] Step 1: Divide the video into blocks to establish a multi-task mathematical model. Divide the video into different rows and columns according to the proportion of the target in the video. The more blocks, the higher the tracking accuracy but the longer the calculation time, and vice versa. After many experiments, 8×8 is the best segmentation algorithm. Afterwards look at the small grid V in each video sequence ij for a tracking subtask. Manually select the target in the first frame, so there will be several small task grid sets S={V ij}. These sub-tasks run through the entire tracking process, because multiple tasks are carried out at the same time, realizing multi-thread tracking, speeding up the pos...

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Abstract

The invention discloses a target tracking method based on target template update, based on the particle filter principle under feature fusion, adopts the multi-task mode of video block, and establishes a target template library, and uses color and edge features to update the next frame information Matching and screening with the target information in the target template library, and updating the target template library by using the template memory criterion, realizes the function of long-term memory of the target in different states. The invention overcomes the susceptibility to external interference conditions existing in the existing video target tracking technology, can accurately locate the target, and effectively reduces tracking errors.

Description

technical field [0001] The invention belongs to the technical field of computer vision, and in particular relates to a target tracking method based on target template update. Background technique [0002] The field of target tracking has gone through a very long research process. Target tracking mainly relies on computers to convert human visual images into digital information, and classify, integrate, screen, and calculate information through different mathematical algorithms, so that different video frames get the information we want. Common target tracking algorithms include mean shift, Kalman filter and particle filter. Different algorithms use different mathematical principles, but their essence is to compare and verify different frame information through mathematical operations to obtain the information we want. [0003] Particle filter algorithm (PF) is a statistical prediction method based on Monte Carlo method and recursive Bayesian estimation. The early classical...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/246G06T7/223G06K9/62
CPCG06T2207/20016G06T2207/10016G06F18/253
Inventor 杨欣夏斯军张芹兰
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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