A Moving Target Tracking Method Based on Optical Flow Method and Key Point Features

Abstract

The invention discloses a moving target tracking method based on the optical flow method and key point features. The method includes: in the initial video frame, calculating the feature vectors corresponding to the key points in the target area and the key points in the background area, and establishing A feature library; use the optical flow method to exclude unstable key points between two adjacent frames, and obtain key points for successful optical flow tracking; detect and describe all key point features in the current frame, and match them with the feature library , get some best matching key points; integrate the key points of successful tracking with the key points of successful matching; use the similar triangle relationship to evaluate the center position, scale and rotation angle of the target; use the historical frame information to update the feature library online. The invention can realize stable tracking of the target for a long time, and can more accurately evaluate real-time geometric state information such as the target scale and rotation angle, and has the characteristics of fast calculation speed, strong anti-occlusion and deformation capabilities.

Description

technical field [0001] The invention relates to a moving target tracking method based on an optical flow method and key point features, and belongs to the technical field of computer vision. Background technique [0002] Moving object tracking is one of the core technologies in the field of computer vision, and it is also a key application technology in many fields such as security monitoring, human-computer interaction, intelligent transportation, aerospace, and medical diagnosis. So far, visual tracking has formed a set of basic theories and accumulated a lot of research results. Common moving target tracking techniques include detection-based tracking, matching-based tracking, filtering-based tracking, fusion-based tracking, and so on. These methods analyze the characteristics of the visual tracking process from different angles, and establish corresponding models to deal with them, but a single tracking method has certain limitations or inherent defects. For example, t...

AI Technical Summary

Problems solved by technology

[0005] In view of the influence of many factors such as the change of target scale, rotation and deformation, irregular movement, illumination changes in the environment, and occlusion, target tracking in complex application scenarios, especially the stable tracking of targets with drastic changes in appearance, existing methods The single-strategy target tracking method is still difficult to fully meet the real-time performance, robustness and accuracy required by practical applications.

Images