Target tracking method based on TLD algorithm framework

Abstract

The invention relates to a target tracking method based on a TLD algorithm framework. The method comprises steps that (1) a user selects a tracking target in an initial frame, and initializes the algorithm; (2) a local tracker in a tracker module predicts the position in the next frame by an optical flow method and a cascaded predictor; (3) a detector detects the target of the current frame through the sliding window scanning and the cascaded classifier, and sends a classification result to a learning module, wherein the tracker and the detector work in parallel; (4) an integrator determines afinal target position by determining and integrating a target result obtained by the tracker and the detector; (5) the learning module corrects the results of the tracker and the detector through structural constraints and updates a target sample; (6) whether the video frame is finished is determined, and if not, the steps (2)-(4) are repeated until the end of the tracking. The method can improvethe robustness of the tracking target and ensures the real-time performance in the tracking process.

Description

technical field [0001] The invention belongs to the field of target tracking, and in particular relates to a target tracking method based on a TLD algorithm framework. Background technique [0002] Object tracking technology is a hot topic in the field of computer vision, and its research value and practical value are very important. The so-called target tracking technology refers to the use of computer and camera equipment to imitate the human visual system, obtain image sequences through camera equipment for analysis and processing, and calculate the parameters of the required target, such as the coordinate position information of the moving target, the target area, the target size, etc. , according to the different feature information of the target, correlate the target of interest in the image, and get the complete trajectory of the target of interest, which has important research and application value in many fields, such as intelligent transportation systems in the civ...

AI Technical Summary

Problems solved by technology

[0005] The TLD algorithm better solves the problem of deformation and occlusion of the tracked target during the tracking process, and can realize long-term online tracking of the target. However, the current TLD tracking algorithm has a large amount of calculation, high computing cost, and poor real-time tracking performance. , the robustness is not strong

[0006] Therefore, in view of the above problems, it can be seen that the current TLD tracking algorithm still has a lot of room for improvement in terms of calculation volume and robustness. How to effectively improve the TLD tracking algorithm from multiple perspectives will be the focus of research for a period of time

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