Multi-target association tracking method based on continuous maximum energy and apparent model

An apparent model, multi-target technology, applied in the field of multi-target tracking, can solve the problem of whether the target belongs to the same target is unknown.

Inactive Publication Date: 2014-07-30
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1) Space-time limitation: As time goes by, the number of tracked target trajectories in the region of interest will gradually increase, and

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  • Multi-target association tracking method based on continuous maximum energy and apparent model
  • Multi-target association tracking method based on continuous maximum energy and apparent model
  • Multi-target association tracking method based on continuous maximum energy and apparent model

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Example Embodiment

[0079] The invention will be further described in detail below in conjunction with the accompanying drawings of the specification.

[0080] Such as figure 1 As shown, the present invention provides detailed implementation methods and processes, but the protection scope of the present invention is not limited to this embodiment, and the specific implementation steps are as follows:

[0081] Step 1: Download image library with video.

[0082] Step 2: Put the video image sequence in the root directory of the target tracking program, and the system will automatically track the video sequence library.

[0083] Step 3: Extract the contour features of the target.

[0084] Step 3-1, color characteristics

[0085] The present invention uses RGB color space to connect the histograms of a single channel to form a single vector f RGB . During operation, each channel is represented by an 8-bit binary number, forming a 24-dimensional vector. Descriptor C R Corresponding to the covariance matrix:

[...

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Abstract

The invention discloses a multi-target association tracking method based on continuous maximum energy and an apparent model. The method comprises: first of all, on the basis of object detection and initial locus extraction, by use of an online discrimination apparent model and an AdBoost method, realizing preliminary association of an object, and obtaining a scattered discontinuous tracking locus; then performing secondary association on a short reliable tracking fragment obtained through the preliminary association by use a Hungarian method, wherein though a continuous tracking locus can be obtained through the secondary association, the secondary association is not suitable for a long-term object tracking process; and finally, making up for the defects of the secondary association by use of an intelligent detection method based on maximum energy, and obtaining a final smoother continuous tracking locus.

Description

Technical field [0001] The invention relates to a multi-target tracking method in the field of computer vision, in particular to a hierarchical multi-target association tracking method based on continuous minimum energy and apparent model learning. Background technique [0002] Video multi-target tracking is the difficulty and focus in the field of computer vision. Compared with single-target tracking, multi-target tracking has wider and more practical applicability. In many tracking scenarios, people may be interested in more than one target. For behavior analysis, video understanding and behavior recognition of the target in the video, the interaction between multiple targets needs to be considered. Therefore, it is very necessary to realize multi-target tracking. of. [0003] In recent years, due to the improvement of target detection performance, tracking technology based on detection methods has become more and more popular. These methods integrate the target's contour feat...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 朱松豪胡娟娟李向向陈玲玲
Owner NANJING UNIV OF POSTS & TELECOMM
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