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

Method and device for foreground object detection

An object detection and foreground technology, applied in the field of object recognition, can solve problems such as the computational complexity of a single background model

Active Publication Date: 2016-04-13
福建星网物联信息系统有限公司
View PDF4 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the process of realizing the present invention, the inventor found that there are following problems in the prior art, the detection method based on the single background model often requires a tracking algorithm with high computational complexity (such as the meanshift algorithm)

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
  • Method and device for foreground object detection
  • Method and device for foreground object detection
  • Method and device for foreground object detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0098] In order to explain in detail the technical content, structural features, achieved goals and effects of the technical solution, the following will be described in detail in conjunction with specific embodiments and accompanying drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more aspects. It may be evident, however, that such aspects may be practiced without these specific details.

[0099] The sequence of image frames mentioned in the present invention mainly refers to a sequence of image frames arranged in chronological order, for example, a sequence composed of video pictures recorded by common video surveillance. The sequence of image frames can be either a video file or a video stream. It should be noted that an image frame is sometimes also referred to as an image.

[0100] The inventor proposes a method for calculating the object contour mask, and...

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 method and a device for foreground object detection. The device comprises a foreground area detection module, a foreground contour module, a gradient calculation module, and a foreground detection control module. The invention relates to the object identification field and particularly relates to the identification of the foreground object which moves irregularly. The method for the foreground object detection is performed according to the gradient change in the foreground contour masking area. In the prior art, the object moving in a single background Gaussian model is easy to identify as a background, and the object which has stopped for a while and then begins to move is usually identified as another object. The method disclosed by the invention improves the identification efficiency of the foreground object and the identification consistency.

Description

technical field [0001] The invention relates to the field of object recognition, and mainly relates to the recognition of irregularly moving foreground objects. Background technique [0002] Background objects refer to stationary or very slowly moving objects, while foreground objects are relatively moving objects. So we can see object detection as a classification problem, that is, to determine whether a pixel belongs to the background point. However, foreground objects that move irregularly, especially foreground objects that are stationary for a long time between two movements, are easily recognized as background objects during the stationary process. [0003] In the process of realizing the present invention, the inventors found the following problems in the prior art, the detection method based on the single-background model often needs a tracking algorithm with high computational complexity (such as the meanshift algorithm). At the same time, this kind of method cann...

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): G06K9/62
CPCG06F18/29
Inventor 吕俊杰
Owner 福建星网物联信息系统有限公司
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