Target tracking optimization method based on tracking learning detection

A technology of tracking, learning, detection, and tracking targets, which is applied in image data processing, instruments, calculations, etc., can solve the problems of reducing the robustness of the algorithm, not being well applicable to tracking scenarios, and reducing the real-time performance of the algorithm tracking stage, etc., to achieve improved Effects of Robustness and Reliability

A technology of tracking, learning, detection, and tracking targets, which is applied in image data processing, instruments, calculations, etc., can solve the problems of reducing the robustness of the algorithm, not being well applicable to tracking scenarios, and reducing the real-time performance of the algorithm tracking stage, etc., to achieve improved Effects of Robustness and Reliability

CN107967692AInactive Publication Date: 2018-04-27XIDIAN UNIV

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  • Target tracking optimization method based on tracking learning detection
  • Target tracking optimization method based on tracking learning detection
  • Target tracking optimization method based on tracking learning detection

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Embodiment Construction

[0020] refer to figure 1 , is a flow chart of a target tracking optimization method based on tracking learning detection in the present invention; wherein the target tracking optimization method based on tracking learning detection includes the following steps:

[0021] Step 1, obtaining L frames of video frame sequences used for tracking, the video frame sequences of the L frames used for tracking are color images respectively, gray-scale conversion is performed on the video frame sequences of the L frames used for tracking, and respectively obtained L frames of grayscale image video frame sequence, each frame of grayscale image video frame sequence is N rows and M columns, and each frame of grayscale image video frame sequence contains K pixels, each frame of grayscale image video frame sequence in The gray values ​​of K pixels are all between 0 and 255; each gray image video frame sequence contains a tracking target; the tracking target position in the first frame gray imag...

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Abstract

The invention discloses a target tracking optimization method based on tracking learning detection. The target tracking optimization method comprises the steps of: determining L frame grayscale imagevideo frame sequences, wherein a tracking target position in the first frame grayscale image video frame sequence is known, and tracked target positions in the rest L-1 frame grayscale image video frame sequences are unknown; performing initialization, wherein t belongs to a set {1, 2, ..., L}, an initial value of t is 1, and L is a positive integer greater than 1; determining a main body part ofa first frame tracking target and an edge part of the first frame tracking target; acquiring Nt tracking points from an edge part of a t-th frame tracking target and a main body part of the t-th frametracking target, and further acquiring a limiting frame tb<t+1> of a (t+1)-th frame tracking target in the (t+1)-th frame grayscale image video frame sequence; acquiring N<t+1><db> detection target limiting frames in the (t+1)-th frame grayscale image video frame sequence from the (t+1)-th frame grayscale image video frame sequence; further acquiring a determined position of the (t+1)-th frame tracking target; and adding 1 to the value of t until determined positions from the second frame tracking target to the L-th frame tracking target are obtained, and recording the determined positions astarget tracking optimization results based on tracking learning detection.

Description

technical field [0001] The invention belongs to the field of computer vision, in particular to a target tracking optimization method based on tracking learning detection, that is, a target tracking optimization method based on tracking-learning-detection (Tracking-Learning-Detection, TLD), which is suitable for video frame sequences Long-term tracking of single targets. Background technique [0002] In the field of computer vision, target detection and tracking has always been a challenging research problem, and is widely used in intelligent monitoring, visual navigation, human-computer interaction, military manufacturing and other fields; target tracking is simply understood as Under the conditions of the video sequence, the process of continuously discovering the moving state information such as the position and shape of the tracking target in the video sequence frame, the so-called tracking target is the person or object of interest in the video frame sequence, etc.; in d...

Claims

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Application Information

Patent Timeline
27 Apr 2018
Publication
CN107967692A
IPC
G06T7/246; G06T7/285
CPC
G06T7/246; G06T7/285
Inventors
赵亦工; 李长桂