Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multi-target tracking method for multi-Bernoulli video based on SSD detection and generalized labels

A multi-target tracking and multi-target technology, applied in instrument, calculation, character and pattern recognition and other directions, can solve problems such as false detection, missed detection, inaccurate target tracking results, etc., to solve target interference, improve tracking accuracy, solve Effects of Tracking Offset Phenomenon

Active Publication Date: 2022-01-07
JIANGNAN UNIV
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of inaccurate target tracking results, even missed detection and false detection due to the uncertainty of new targets and complex environment interference in multi-target tracking, the present invention provides a single shot multibox detector based on SSD (Single ShotMultiBox Detector, SSD) Generalized label multi-Bernoulli video multi-target tracking method, said method comprising:

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multi-target tracking method for multi-Bernoulli video based on SSD detection and generalized labels
  • Multi-target tracking method for multi-Bernoulli video based on SSD detection and generalized labels
  • Multi-target tracking method for multi-Bernoulli video based on SSD detection and generalized labels

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0134] This embodiment provides a multi-target tracking method based on SSD detection generalized label multi-Bernoulli video, see figure 1 , the method includes:

[0135] Step 1. Initialization: In the initial frame k=0, initialize the target i and perform sampling N(l) is the number of particles, and the prior probability density of multiple targets is: where I is the label set of the initial frame, is the target weight. Set the existence probability P of the target s is 0.99, extracting the convolution feature of target i

[0136] Step 2. Generalized Label Multi-Bernoulli Filter Prediction:

[0137] 2.1 Prediction of new targets: use the SSD detector to detect the k-th image, and obtain the multi-target detection results and target number Calculate the distance matrix D between the surviving target and the detection result through the center point distance k =[d i，j ],which is:

[0138]

[0139] Among them, d ij The matrix represents the center distance...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multi-target tracking method for multiple Bernoulli video based on SSD detection and detection of generalized labels, which belongs to the fields of computer vision and image processing. The method expresses the appearance of objects by using a convolutional feature that does not require offline learning and has good robustness, and uses generalized label multi-Bernoulli (GLMB) filtering to realize video multi-object tracking. Considering that in multi-target tracking, the uncertainty of unknown newborn targets leads to inaccurate target tracking results, the SSD detector is introduced in the GLMB filtering framework to initially identify unknown newborn targets, and a weight summation method is used The fusion method combines the detection results and tracking results to obtain the final tracking results, and adaptively updates the target template, which not only solves the problem of tracking offset in the filtering algorithm, but also solves the problem of missed detection and false detection in the detection technology. problem, greatly improving the accuracy of multi-target tracking state.

Description

technical field [0001] The invention relates to a multiple Bernoulli video multi-target tracking method based on SSD detection and detection of generalized labels, and belongs to the fields of computer vision and image processing. Background technique [0002] Video object tracking can be defined as given an initial state of a tracked object in an initial frame, and obtaining the state of that object in real-time in subsequent video frames. However, due to the diversity of target movement, occlusion, illumination changes, target deformation and complex environment, the target tracking problem has always been a difficult problem in the field of computer vision. Compared with single-target tracking, video multi-target tracking still has problems such as close or intersecting targets, especially unknown new targets and target disappearance, which further increases the difficulty of tracking. [0003] For the above-mentioned multi-target tracking problem, in the early days, the...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/40G06V10/443G06V2201/07G06F18/22G06F18/24147G06F18/24G06F18/253
Inventor 杨金龙汤玉程小雪徐悦张光南葛洪伟
Owner JIANGNAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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