Object tracking method, augmented reality method, and apparatus
A target tracking and target technology, applied in the field of image processing, can solve the problems of long time consumption, poor portability, large error rate, etc., and achieve the effect of removing mismatches, ensuring accuracy, and reducing the amount of calculation.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0037] Such as figure 1 Shown, the present invention provides a kind of target tracking method, it is characterized in that, comprises:
[0038] S101 acquires the tracking template data, the embodiment of the present invention uses the tracking template as the identification basis, does not need markers, the implementation method is simple, the tracking template used can be a fixed template, and the calculation is simplified at this time, and it can also be a dynamic template, According to the acquired real-time image of the target, it is processed and updated as a tracking template, which effectively reduces the misjudgment rate and facilitates the subsequent identification and matching process.
[0039] S102 acquires image data, the camera collects real-world image data, and extracts feature data from the image data, such as extracting ORB features or SURF features as image data, to prepare for matching and recognition.
[0040] S103 Perform feature matching according to th...
Embodiment 2
[0059] Figure 4 A flow of a real-time target tracking method according to an embodiment of the present invention is shown, and the specific steps are as follows:
[0060] S201: Before starting the recognition, first establish the target feature database, and extract the ORB feature and SURF feature for each target sample image by obtaining the target sample image data set, and establish the target feature database, such as Figure 5 As shown, after acquiring the target sample image data set, collect ORB features, and judge whether the acquired feature points are greater than the threshold, if less than the threshold, do not add the target feature database, if greater than the threshold, perform SURF feature extraction, and then judge the extracted SURF Whether the number of feature points is greater than the threshold, if it is less than the threshold, it will not be added to the target feature database, if it is greater, the obtained ORB feature and SURF feature will be adde...
Embodiment 3
[0074] Embodiments of the present invention provide a method for target tracking, such as Figure 9 shown, including:
[0075] S301 Acquire all images in the target sample image dataset.
[0076] S302 establishes a target feature database by extracting the ORB feature and SURF feature of each target sample image. By obtaining the target sample image data set, extracting the ORB feature and SURF feature of each sample image, the target feature database is established. In addition, users can also customize the target and add the sample image to the target data set.
[0077] S303 acquires real-time image data, and extracts ORB features. Obtain real-time image data and extract ORB features of the real-time image.
[0078] S304 is based on the Brute Force matching algorithm, matching the ORB features of the real-time image and the target image data set. Based on ORB feature matching, the real-time image is matched with the target sample one by one. If it matches a certain samp...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com