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Real-time tracking method for infrared image target with multi-feature fusion

A multi-feature fusion and infrared image technology, applied in the field of infrared image target tracking, can solve the problems of increasing algorithm complexity, decreasing tracking accuracy, and difficult hardware real-time implementation

Active Publication Date: 2013-02-13
THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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Problems solved by technology

Therefore, the existing target tracking algorithms have the following disadvantages: (1) The classic target tracking algorithm uses a single feature to describe the target, which has poor anti-interference ability; (2) Most existing multi-feature target tracking algorithms only use the current frame to calculate When the target undergoes complex changes, the robustness of the tracking algorithm is poor; (3) Most of the existing tracking algorithms, when the target has non-rigid deformation, partial occlusion and overlap, the tracking accuracy decreases, and even the target is lost; (4) Most of the existing tracking algorithms greatly increase the complexity of the algorithm while improving the target tracking accuracy, which is not easy to realize in real time by hardware

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  • Real-time tracking method for infrared image target with multi-feature fusion
  • Real-time tracking method for infrared image target with multi-feature fusion
  • Real-time tracking method for infrared image target with multi-feature fusion

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Embodiment 1

[0069] like figure 1 As shown, an example is used to illustrate the real-time tracking method of infrared image target by multi-feature fusion of the present invention. The number of pixels of the infrared image is 320×240, and the frame rate is 25HZ. The imaging of the infrared thermal imager is transmitted to the special image processing board of the DSP+FPGA architecture through the optical fiber, and the infrared image target tracking of multi-feature fusion is realized in the DSP processor to meet the needs of real-time processing. The specific implementation steps are as follows:

[0070] (1) Initialize the target tracking point position y 0 , the initial tracking point is manually specified.

[0071] Manually specify the initial target tracking point position (i, j), i = 80, j = 100 (as shown in Figure 2), and set the Epanechnikov (Epanechnikov) kernel function bandwidth h = 10.

[0072] (2) Initialize the target model and establish the target grayscale model q accor...

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Abstract

The invention discloses a real-time tracking method for an infrared image target with multi-feature fusion. The real-time tracking method comprises the following steps of: initializing a target tracking point position; initializing a target model; calculating a target candidate model; calculating a coefficient of unified feature Bhattacharyya and weight coefficients between feature; calculating a new tracking position of a current frame target; estimating the coefficient of the unified feature Bhattacharyya at the new position; and comparing the two coefficients of the unified feature Bhattacharyya and outputting results. The real-time tracking method can be used for adaptively calculating the weight coefficients between multiple features, enhances the robustness of target tracking, ensures the stability of target tracking, solves the problem of tracking point drifting caused by unstable single feature, and effectively improves the accuracy of target tracking.

Description

technical field [0001] The invention designs a multi-feature fusion infrared image target tracking method, in particular to an infrared image target tracking method suitable for real-time hardware implementation. Background technique [0002] In recent years, with the development of integrated circuit technology and infrared materials, infrared imaging technology has made great progress and has been widely used in national defense construction and national economy. However, compared with visible light images, infrared images have relatively low signal-to-noise ratios, so they can only provide limited information for target detection and tracking in infrared images. Due to the inconspicuous characteristics of the target in the infrared image and the existence of large background clutter, it becomes more difficult to accurately track the target in the infrared image. [0003] Currently, object tracking algorithms are divided into two categories: model-based tracking methods a...

Claims

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Application Information

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IPC IPC(8): G06T7/20
Inventor 白俊奇赵春光王寿峰翟尚礼汪洋
Owner THE 28TH RES INST OF CHINA ELECTRONICS TECH GROUP CORP
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