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Trace template self-adaption method based on variance estimation

A variance estimation and adaptive technology, applied in computing, image data processing, instruments, etc., can solve the problem that the template cannot be adaptively changed.

Active Publication Date: 2016-06-08
上海博康智能信息技术有限公司
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Problems solved by technology

[0004] Aiming at the problem that the template cannot be adaptively changed in the current online learning tracking algorithm based on the appearance model, the present invention proposes a tracking algorithm for dense spatio-temporal context learning with variable template scale, which can improve tracking accuracy and meet real-time performance

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  • Trace template self-adaption method based on variance estimation
  • Trace template self-adaption method based on variance estimation
  • Trace template self-adaption method based on variance estimation

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Embodiment Construction

[0036] The present invention will be described in detail below in conjunction with the accompanying drawings. The following examples do not limit the invention. Without departing from the spirit and scope of the inventive concept, changes and advantages that can be imagined by those skilled in the art are all included in the present invention.

[0037] join below Figure 1-3 The tracking template adaptive method based on variance estimation of the present invention will be described in detail. Such as image 3 As shown, the present invention includes the following steps.

[0038] Step a: Obtain the initial center position of the target and the initial position frame determined according to the initial center position, the initial center position is denoted as x * .

[0039] In step a, the initial center position and the initial position frame can be obtained by the following method:

[0040] 1. In the occasion with human-computer interaction function, manually determine ...

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Abstract

The invention provides a trace template self-adaption method based on variance estimation. The method comprises the following steps that firstly, an initial center position of a target and an initial position frame determined according to the initial center position are acquired, wherein the initial center position is marked as x*; secondly, features of the target are acquired based on the initial position frame; thirdly, a target trace template is established according to the features acquired in the second step; fourthly, the target is traced according to the target trace template acquired in the third step, and the current time center position of the target is acquired; fifthly, the dimension of the target trace template is updated according to the current time center position of the target. By means of the method, trace robustness, timeliness and accuracy can be improved.

Description

technical field [0001] The invention relates to the field of video target tracking, in particular to a tracking template adaptive method based on variance estimation. Background technique [0002] Object tracking has always been one of the hot spots in the field of computer vision, and it is widely used in various fields such as motion analysis, behavior recognition, monitoring, and human-computer interaction. The difficulty of target tracking lies in the change of the target's own posture and appearance, the occlusion between targets, and the change of the environment affect the accuracy of tracking. The tracking algorithm based on online learning of appearance features has become one of the mainstream tracking algorithms in recent years because of its good performance. This type of algorithm regards target tracking as a binary classification problem of background and target, and distinguishes the target from the background through online learning of target templates, so a...

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Application Information

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IPC IPC(8): G06T7/20
CPCG06T2207/20056
Inventor 张伟张彩红张如高虞正华谯帅
Owner 上海博康智能信息技术有限公司
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