Vehicle tracking method based on machine learning and optical flow
A machine learning and vehicle tracking technology, applied in the field of vehicle tracking, can solve problems such as easy drift, time-consuming online learning, and single feature
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0037] The present invention will be further described below in conjunction with the accompanying drawings.
[0038] Such as figure 1 As shown, the vehicle tracking method based on machine learning and optical flow, one-time offline training to obtain the vehicle model, use this vehicle model to detect vehicle blobs in real time in the video stream, and perform bidirectional pyramid optical flow tracking on each vehicle blob , by analyzing and filtering the forward and reverse optical flow tracking results, the stable and accurate tracking of multiple targets can be realized, and the vehicle trajectory can be formed. The specific steps will be described below.
[0039] (1) Offline training vehicle model: Collect positive and negative sample images during the day and night, extract image features through machine learning algorithms, and conduct learning and training to obtain daytime vehicle model library and nighttime vehicle model.
[0040] Specifically: collect images of va...
PUM

Abstract
Description
Claims
Application Information

- Generate Ideas
- Intellectual Property
- Life Sciences
- Materials
- Tech Scout
- Unparalleled Data Quality
- Higher Quality Content
- 60% Fewer Hallucinations
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com