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Target Scale Adaptive Tracking Method Based on Spatiotemporal Model

A technology of adaptive tracking and space-time model, which is applied in the direction of character and pattern recognition, instruments, computer components, etc., can solve the problems of tracking accuracy decline, and achieve the effect of robust tracking, improved accuracy, and wide application prospects

Active Publication Date: 2018-08-28
JIANGNAN UNIV
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AI Technical Summary

Problems solved by technology

[0004] Aiming at the problem of the decrease of tracking accuracy caused by the change of target scale, the present invention introduces a multi-scale historical target template library constructed by borrowing the idea of ​​clustering, proposes a target scale adaptive tracking algorithm based on a spatio-temporal model, and realizes the real-time target robustness of scale change. stick track

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  • Target Scale Adaptive Tracking Method Based on Spatiotemporal Model
  • Target Scale Adaptive Tracking Method Based on Spatiotemporal Model
  • Target Scale Adaptive Tracking Method Based on Spatiotemporal Model

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Embodiment Construction

[0033] In order to better illustrate the purpose, concrete steps and characteristics of the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings:

[0034] refer to figure 1 , a kind of target scale self-adaptive tracking method based on the space-time model proposed by the present invention mainly includes the following steps:

[0035] Step 1. Read in the first frame image Image 1 , manually specify the tracking target rectangle position Ζ;

[0036] Step 2. Based on the context space Ω c , initialize the space-time model make

[0037]

[0038] Step 3. Calculate the target area Z 1 Histogram of directional gradient features f HOG_Z , let m=Z ,f HOG_Z >, M=M∪m, initialize the multi-scale historical target template library M;

[0039] Step 4. Read in the next frame Image t+1 (t≥1);

[0040]

[0041]

[0042] Step 7. Use the target center point estimated in step 6 As the center, e...

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Abstract

The invention discloses a target scale adaptive tracking method based on a spatio-temporal model, which comprises the following steps: start the video, read in the first frame image, and manually specify the rectangular position of the tracking target; then, based on the context space, initialize the spatio-temporal model and multi-scale history Target template library; then read in the next frame of image, iteratively construct the space-time model, calculate the confidence map, and estimate the center position of the target; then judge the optimal scale of the template according to the historical target template library, determine the position of the target rectangle, and complete the current frame target tracking. And update the spatio-temporal model scale parameters and the multi-scale historical target template library; finally check whether the video is over, and continue to read the next frame if it is not over, otherwise end the tracking. The invention effectively copes with the change of the appearance scale of the target and realizes robust tracking when the target suffers from disturbances such as illumination changes, local occlusion and fast movement.

Description

Technical field: [0001] The invention belongs to the field of machine vision, and in particular relates to an adaptive tracking method of target scale based on a spatio-temporal model. Background technique: [0002] Target tracking is a high-level visual processing in the video surveillance system, that is, using computer vision, image and video processing and other related technologies to describe, process and analyze the targets in the image sequence captured by the camera without human intervention, to achieve Detect, track and identify moving objects in dynamic scenes, and then obtain the trajectory of interest based on the processed and analyzed object characteristics. Moving target tracking and detection is an important research content in the field of video surveillance. The effect of target tracking and detection in video images directly affects the accuracy of advanced processing such as target behavior detection, event understanding and analysis in the subsequent v...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/42G06V20/46G06V20/52G06V2201/07G06F18/23
Inventor 蒋敏吴佼孔军柳晨华皮昕鑫
Owner JIANGNAN UNIV
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