Target tracing algorithm based on high-order partial least square method

A partial least squares, target tracking technology, applied in computing, computer components, image data processing and other directions, can solve problems such as not well solved, attitude/viewing changes, similar objects and cluttered background interference, etc.

Active Publication Date: 2014-09-03
HUAQIAO UNIVERSITY
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Problems solved by technology

Although the research on target tracking algorithms has been going on for many years, researchers have proposed various tracking methods; however, many difficult problems encountered in pra

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  • Target tracing algorithm based on high-order partial least square method
  • Target tracing algorithm based on high-order partial least square method
  • Target tracing algorithm based on high-order partial least square method

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Embodiment

[0054] Such as figure 1 As shown, the present invention provides a target tracking algorithm based on the high-order partial least squares method, including an initialization phase 001, a training phase 002, a testing phase 003, and an updating phase 004;

[0055] The initialization stage 001 includes: specifying a target object, and setting n-1 different relative orientations centered on the center of the target object as n-1 non-target orientations of the target object (for example, a certain non-target orientation The orientation is 30 degrees southeast of the center of the target object and 3 pixels away from the center of the target object); record the current moment as time t, and extract m frames of images from time t-m to time t, where m is a preset positive integer; for each frame of image extracted, artificially find the target object in the image, take the center of the target object as the center to intercept a first image block containing the target object, and th...

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Abstract

The invention discloses a target tracing algorithm based on a high-order partial least square method. The target tracing algorithm based on the high-order partial least square method comprises an initialization phase, a training phase, a testing phase and an updating phase. A two-dimensional tensor is used for representing image blocks, and internal spatial structure information of the image blocks is stored. Meanwhile, the image blocks of multiple timing sequences and the types of the image blocks are integrated to build a high-order tensor, the relevance between the high-order tensor and the category array of the high-order tensor is analyzed through the partial least square method, and the performance of the target tracing algorithm is largely improved.

Description

technical field [0001] The invention relates to computer vision and pattern recognition in the field of information technology, in particular to a target tracking algorithm based on a high-order partial least square method. Background technique [0002] With the increasing number of surveillance cameras installed, as well as the increasing demand for safe cities and public security, artificial video surveillance methods are far from meeting the needs, so intelligent video surveillance technology emerged as the times require and quickly became a research hotspot. Intelligent video surveillance technology is a cross-field research direction, its research content is rich, and its application fields are wide and diverse. Generally speaking, the processing of video images in intelligent video surveillance research can be divided into three levels: bottom layer, middle layer, and high layer. Among them, the target tracking algorithm is the core component of the middle-level analy...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/20
Inventor 钟必能王田沈映菊陈雁谢维波陈锻生陈维斌
Owner HUAQIAO UNIVERSITY
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