Target tracking method and system based on two-stage convolutional neural network
A convolutional neural network and target tracking technology, which is applied in the field of target tracking methods and systems based on two-stage convolutional neural networks, can solve problems such as inability to accurately reflect actual losses, calculation method deviations, etc., and achieve improved recall and accurate tracking. Detect and improve the effect of average accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0050] The principles and features of the present invention are described below in conjunction with the accompanying drawings, and the examples given are only used to explain the present invention, and are not intended to limit the scope of the present invention.
[0051] like figure 1 As shown, a target tracking method based on a two-stage convolutional neural network includes the following steps:
[0052] S1. Obtain a video stream in the detection area, and preprocess the video stream to obtain multiple frames of pictures;
[0053] S2, inputting the multiple frames of the frame picture into the pre-trained YOLOv3 target detection improved model for target detection, and obtaining the frame picture with the detection target;
[0054] S3, using the deepsort multi-target tracking algorithm to track the detection target on the frame picture with the detection target, and track the real-time position of the detection target in the frame picture.
[0055] The present invention r...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


