System and method for visual tracking

A visual tracking and color histogram technology, applied in the field of visual tracking system, can solve the problems of contour information distortion, inability to detect suspicious targets, inability to track targets in real time, etc., to reduce time and space complexity and improve accuracy. Effect

Inactive Publication Date: 2013-08-28
CHONGQING UNIV
View PDF5 Cites 58 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the monitoring system based on the above ideas is more and more widely used in practice, there are still some unresolved problems
[0004] Problem 1: The ill-conditioned problem of 3D to 2D projection
When the camera field of view is different from the shooting angle of the template picture, the outli...

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
  • System and method for visual tracking
  • System and method for visual tracking
  • System and method for visual tracking

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The preferred embodiments of the present invention will be described in detail below with reference to the accompanying drawings.

[0025] figure 1 It is a flowchart of the method of the present invention, figure 2 It is a microscopic control flowchart of the method of the present invention, as shown in the figure, the method mainly includes the following steps:

[0026] 1) Collect and input real-time monitoring images and target images, collect video frame images in real time through the camera and input them to the X86 industrial computer; the target images are directly uploaded by the user through the human-computer interaction interface.

[0027]2) Use the SURF algorithm to match the local feature points of the collected image and the target image. Specifically include: building a Hessian matrix to extract the key points of the target image and the collected image; adding detailed information (local features) to the key points; finding out by pairwise comparison...

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 system and method for visual tracking, and belongs to the technical field of visual monitoring. The method comprises the following steps: (1) collecting and inputting real-time monitoring images and target images, (2) matching the local features of the collected images and the target images, (3) finding a dense region of feature points through a clustering classification algorithm, and calculating the coordinate of a centroid where a target is located, (4) cutting out images close to the centroid, multiplying the images by a two-dimensional Gauss template, and pre-processing images to be matched, (5) carrying out overall color matching on the images to be matched and the target images in a RGB three-color channel, (6) analyzing the motion trail of the centroid, predicating a position where the centroid is likely to appear at the next moment, outputting the offset coordinate of the target relative to the center of a monitoring and shooting image in real time, and controlling a camera to track the motion trail of a suspicious target. The method can accurately find the centroid of the suspicious target and reduces the time complexity and the space complexity of target detection, meanwhile, the potential position of the target at the next moment is predicated, and real-time tracking of the suspicious target is achieved.

Description

technical field [0001] The invention belongs to the technical field of visual monitoring, and relates to a visual tracking system and method. Background technique [0002] For important monitoring places, such as banks, stores, parking lots, military bases, etc., due to the needs of management and security, people often need to detect and track suspicious objects appearing in the scene. The video-based intelligent monitoring system is a cutting-edge technology that has attracted much attention in the field of image processing, and has a huge monitoring market demand. A monitoring device for real-time detection and tracking, which can automatically analyze and extract key information of video sources, instead of simply treating the monitoring camera as an electronic device for storing and calling monitoring information. Its core processing module can use the powerful data processing of the computer Function, high-speed analysis of massive information in the video screen, fil...

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): G06K9/00
Inventor 尹宏鹏柴毅范曲彭超周康乐
Owner CHONGQING UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products