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

Self-adaptive method for searching co-tour persons in scenic area

An adaptive and personnel-based technology, applied in the fields of artificial intelligence and computer vision, can solve problems such as the inability to cover scenic spots and the difficulty of obtaining clear face images, achieving excellent timeliness, low efficiency, and expanding the scope of application

Pending Publication Date: 2021-06-11
NANTONG UNIVERSITY
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At the same time, it is a difficult problem for all cameras to obtain clear images of faces
The face recognition method needs to point the camera at the entrance to shoot. After collecting clear face images, the final number of people is determined according to the similarity of face features, but this method cannot cover the entire scenic spot.
Moreover, some scenic spots have nocturnal activities, and most existing tracing schemes in scenic spots cannot effectively complete the task of tracing people at night

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
  • Self-adaptive method for searching co-tour persons in scenic area
  • Self-adaptive method for searching co-tour persons in scenic area
  • Self-adaptive method for searching co-tour persons in scenic area

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0042] see Figure 1 to Figure 4 , an adaptive method for searching fellow travelers in a scenic spot, wherein the adaptive method comprises the following steps:

[0043] Step 1: Obtain the pedestrian image of the reporting person, if there is no image of the missing person, go to step 2; otherwise, get the image of the missing person, and go to step 2.

[0044] Step 2: According to the pedestrian image of the reporting person in step 1, search the reporting person in the pedestrian image database, extract the video frame when the reporting person exists, if there is no missing person image in step 1, go to step 4; otherwise go to step 3 .

[0045] Step 3: Use the image of the missing person in step 1 to retrieve the missing person in the video frame containing the reporting person extracted in step 2, display the retrieved video frame, and execute step 4.

[0046] Step 4: According to the search result, after the report personnel confirm, extract the pedestrian image of the...

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 provides a self-adaptive method for searching co-tour persons in a scenic area, and the method comprises the following steps: 1, obtaining a pedestrian image of a person who reports a case; 2, searching a case reporting person in a pedestrian image database; 3, retrieving missing persons in the video frames containing the case reporting persons extracted in the step 2, and displaying the retrieved video frames; step 4, extracting pedestrian images of missing persons from the confirmed images; 5, retrieving missing persons in the pedestrian image database; 6, monitoring all the cameras in real time; 7, if the case reporting person requires to stop searching the person; and 8, ending. The beneficial effects of the invention are that the self-adaptive method is provided, and the missing person and pedestrian images are converted into different modes for matching the pedestrian images captured by the camera in the daytime and at night, so that the method can search people in the daytime environment and the night environment, and the application range of the method for searching people in the scenic spot is expanded.

Description

technical field [0001] The invention relates to the technical fields of artificial intelligence and computer vision, in particular to an adaptive method for finding fellow travelers in scenic spots. Background technique [0002] Touring scenic spots is one of people's leisure and entertainment methods, which can not only increase knowledge, but also help to strengthen the body. Most of the existing people-finding methods in scenic spots are based on manual search and face recognition, and the application environment is mostly daytime with good lighting environment. [0003] The methods of manual search include posting missing person information and querying surveillance video. Broadcasting missing person information includes posting missing person notices in scenic spots, distributing missing person leaflets, or disseminating missing person information by broadcasting or the Internet. The method of querying the surveillance video can accomplish two tasks: one is for the se...

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
IPC IPC(8): G06K9/00G06K9/62G06F16/51G06F16/583G06F16/71G06F16/783
CPCG06F16/783G06F16/71G06F16/51G06F16/583G06V40/10G06V20/41G06V20/53G06F18/22
Inventor 王进张天奇张荣顾翔陈亮
Owner NANTONG UNIVERSITY
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