Correlation tracking method based on DSP (digital signal processor) with high tracking success rate

Abstract

The invention discloses a correlation tracking method based on a DSP (digital signal processor) with a high tracking success rate. A manner combining a template matching algorithm based on normalized cross-correlation and occlusion judgment and motion prediction, a search center is set through the Kalman motion prediction, the sub template correlation matrix based on the NProd function serves as the matching measure, and the target is searched in the gate; if the correlation level errors among the sub templates meet the occlusion conditions, template update is stopped; a motion predicting value serves as an optimal matching position directly until the target leaves the occlusion region. By the aid of the method, the target which exists in the complicate background, which is similar to background color distribution and which is provided with large-area occlusion suddenly can be tracked effectively, the target occlusion judgment algorithm based on the sub template correlation errors is adopted, and whether the target enters the occlusion or not can be judged effectively.

Description

[0001] This application is a divisional application with application number: 201310309831.2, application date: 2013.07.22, and name: "DSP-based correlation tracking method". technical field [0002] The invention relates to an image processing technology, in particular to a DSP-based target correlation tracking method and device thereof. Background technique [0003] Target tracking based on image processing has many practical applications in the fields of human-computer interaction, intelligent video surveillance and military applications. But the difficulty lies in how to make the tracking process more robust, because the shape change and occlusion of the target will affect the reliability of the tracking. [0004] The correlation tracking method based on template matching is a method in target tracking. The template image containing the target is obtained through automatic detection or manual setting, and then a certain criterion is used to find the best match in the sear...

AI Technical Summary

Problems solved by technology

The correlation tracking method has the advantages of high precision, stable tracking and insensitivity to the background color distribution, but when the target is deformed or occluded, the tracking accuracy will be reduced or even the tracking will fail.

By updating the template, the influence of target deformation on tracking can be suppressed to a certain extent, but the small error on each frame will gradually accumulate with the relative motion process, which may cause the target tracking point to deviate farther and farther from the original aiming center , that is, the template drifts

In addition, special attention should be paid to when the target enters the occlusion, if the template update is not stopped immediately, the occluder will enter the template, which will seriously affect the follow-up tracking

[0005] Existing technical systems are generally difficult to deal with sudden interference such as target occlusion. In order to more effectively improve the robustness of correlation tracking, research can be carried out from two aspects at the same time: first, construct a more robust matching metric function; second , study the appropriate template update method

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