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

Real-time multi-class and multi-target tracking method of video

A multi-target tracking and video technology, applied in image analysis, image enhancement, instruments, etc., can solve problems such as limited application range, increased hardware cost, and insufficient real-time performance, and achieve the goal of reducing algorithm complexity and matching range Effect

Inactive Publication Date: 2016-11-16
CHINA UNIV OF PETROLEUM (EAST CHINA)
View PDF5 Cites 30 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, today's visual tracking algorithms are mainly aimed at single-target or similar multi-target tracking, which greatly limits the scope of application and does not conform to the actual situation.
If you want to realize the practical application of residential intrusion detection, you need multiple cameras to work at the same time, which will not only increase the hardware cost, but also the real-time performance is not good enough

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
  • Real-time multi-class and multi-target tracking method of video
  • Real-time multi-class and multi-target tracking method of video
  • Real-time multi-class and multi-target tracking method of video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0043] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0044] combine figure 1 As shown, a real-time video multi-class multi-target tracking method includes the following steps:

[0045] s1, video preprocessing, using the SLIC superpixel segmentation method based on the k-means clustering method to preprocess the video frame, combined with figure 2 As shown, the specific steps include:

[0046] s11. Initialize the clustering center and determine the number of superpixels to be generated. Assuming that there are N pixels in the image, the size of the superpixel is N / K, and the distance between the clustering centers is The resulting superpixel size is approximately S 2 . Let the cluster center of the superpixel be C k =[l k , a k , b k, x k ,y k ] T , where k ranges from 1 to K. In order to prevent the noise from becoming the cluster center and causing interference to the subsequent clu...

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 belongs to the field of computer graphics and image processing, and specifically discloses a real-time multi-class and multi-target tracking method of a video. The tracking method comprises the following steps: s1: carrying out video frame preprocessing, such as superpixel segmentation; s2: on the basis of a superpixel block, designing a target detector, carrying out off-line training, and fully utilizing movement features so as to detect all moving targets in the video; s3: utilizing the trained detector to carry out target detection on a given video; s4: designing a target tracking model, and tracking the targets in the video; and s5: carrying out trajectory visualization. The tracking method has the following beneficial effects: 1: the complexity and the time consumption of an algorithm are greatly lowered since the video is subjected to the target detection on the basis of the superpixel block; and 2: all multiple classes of moving targets in the video can be detected, so that the tracking of all moving objects in the video can be realized under a situation of one camera, and therefore, hardware cost is greatly lowered.

Description

technical field [0001] The invention belongs to the field of computer graphics and image processing, and relates to a real-time video multi-class and multi-target tracking method. Background technique [0002] Moving targets are widely used in military guidance, visual navigation, robotics, intelligent transportation, public safety and other fields. For example, in the vehicle violation capture system, vehicle tracking is essential; in the community intrusion detection system, the detection and tracking of large moving objects such as people, vehicles, and animals is also the key to the entire system. However, today's visual tracking algorithms are mainly aimed at single-target or similar multi-target tracking, which greatly limits the scope of application and does not conform to the actual situation. If you want to realize the practical application of residential intrusion detection, you need multiple cameras to work at the same time, which will not only increase the hardw...

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 Applications(China)
IPC IPC(8): G06T7/20
CPCG06T2207/10016G06T2207/20081
Inventor 刘玉杰窦长红
Owner CHINA UNIV OF PETROLEUM (EAST CHINA)
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