Salient object detection method based on video

A target detection and remarkable technology, applied in the field of image processing, to achieve fast speed and good effect

Inactive Publication Date: 2016-03-23
NANJING UNIV OF POSTS & TELECOMM
View PDF7 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the shortcomings of existing video salient object detection methods, and provide a video-based salient object detection method, which combines statistical motion information, namely optical flow informati

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
  • Salient object detection method based on video
  • Salient object detection method based on video
  • Salient object detection method based on video

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0044] A preferred embodiment of the video-based salient target detection method of the present invention specifically includes the following steps:

[0045] Step 1: Perform superpixel segmentation on the picture, and use the optical flow information and color information to obtain the preliminary salient target detection area.

[0046] 1. Superpixel segmentation

[0047] First, perform superpixel segmentation on video frame images. A superpixel is a small area composed of a series of adjacent pixels with similar characteristics such as color, brightness, and texture. Most of these small areas retain effective information for further image segmentation, and generally do not destroy the boundary information of objects in the image. The invention utilizes a simple linear iterative clustering method to perform superpixel segmentation. Compared with the traditional superpixel segmentation method, this method has the advantages of fast speed and good effect. This method applies...

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 salient object detection method based on video. The method comprises the following steps: performing super-pixel segmentation on a picture, and utilizing optical flow information and color information to obtain a preliminary salient object detection area; acquiring picture background information by using gradient information; fusing the preliminary object detection area and pruning the background to obtain a final salient object zone. According to the method, the similarity of pixels is detected by combining statistical motion information (i.e. the optical flow information) and static information (i.e. the color and gradient information) on the pixel level, foreground and background cues are fused in the result, and the purpose of detecting a salient object in video is finally fulfilled.

Description

technical field [0001] The invention relates to a video-based salient target detection method, in particular to a video salient target detection method based on foreground detection and background subtraction, and belongs to the technical field of image processing. Background technique [0002] Salient object detection is very important in the field of computer vision. Due to security needs, people pay more and more attention to the safety detection in video. In videos, it becomes especially important to detect salient objects to obtain information that people are interested in. In a video surveillance system, a salient target is an object that attracts people's attention at the first sight in the picture. Salient object detection is to find such objects in pictures or videos through algorithms to replace human visual functions, so as to prepare for subsequent higher-level video detection work. [0003] In recent years, many saliency detection methods focus on detecting f...

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): G06T7/00G06K9/46
CPCG06T2207/10004G06V10/507G06V10/462
Inventor 朱松豪师哲孙成建
Owner NANJING UNIV OF POSTS & TELECOMM
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap