A method and system for target tracking based on dynamic measurement matrix
A dynamic measurement and target tracking technology, applied in the field of computer vision, can solve problems such as feature mode solidification and tracking drift, and achieve strong adaptability and good robustness
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Publication Date
- 2017-11-07
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Abstract
Description
Technical field
[0001] The invention relates to the field of computer vision, in particular to a target tracking method and system based on a dynamic measurement matrix. Background technique
[0002] Target tracking based on video or image sequence is one of the hot issues of computer vision, and it is very closely related to target detection. Tracking-by-detection methods also benefit from the efficiency and accuracy of detection problems. Promote. There are many difficulties to deal with the target tracking problem, such as lighting changes, target shape or posture changes, and complex scenes, which have a great impact on the tracking effect.
[0003] Tracking problems can be roughly divided into two categories. One type is tracking based on generative models. This type of method learns the appearance model of the target. When searching for the target position, it looks for the area that is closest to the model or has the smallest reconstruction error; the other type is trackin...
Examples
Embodiment Construction
[0055] The technical solution of the present invention will be described in further detail below in conjunction with the accompanying drawings: figure 1 As shown, a target tracking method based on a dynamic measurement matrix includes the following steps:
[0056] S1: Compress the high-dimensional features of the sample into low-dimensional features, and initialize the dynamic measurement matrix;
[0057] S2: Collect multiple positive sample sets and negative sample sets around the target location, and perform classifier update learning;
[0058] S3: Determine the position of the target in the current frame;
[0059] S4: Update the dynamic measurement matrix, and return to step S2 until the tracking is completed.
[0060] Step S1 includes the following sub-steps:
[0061] S11: Put the sample High-dimensional features Compressed into low-dimensional features which is:
[0062] v=R(t)x;
[0063] In the formula, where m = (wh) 2 , N Is the dynamic measurement matrix;
[0064] S12: Initiali...